diff --git a/README.md b/README.md
index 8ae6f60..1553eb9 100644
--- a/README.md
+++ b/README.md
@@ -18,8 +18,9 @@ Notebooks to reproduce plots from public datasets are included in the `notebooks
- `cpg0016_loading.ipynb` - Load the JUMP CP data, apply PCA and proximity bias correction and save data locally.
- `cpg0016_plots.ipynb` - Create whole-genome plots from cpg0016, calculate Brunner-Munzel statistics and make bar plots.
- `shinyDepMap_benchmark.ipynb` - Load DepMap 19Q3 data and create plots showing an enrichment for within-chromosome arm relationships.
+- `DepMap_PB_Driver_Scan_sample.ipynb` - Short sample code for executing the DepMap driver scanning.
- `DepMap_PB_Drivers.ipynb` - Use DepMap 22Q4 data to look at differential proximity bias when TP53 and other genes are wild-type vs loss/gain of function.
-- `DepMap_22q4_vs_23q2.ipynb` - Generate whole-genome plots and Brunner-Munzel probability plots for DepMap 22Q4 and 23Q2 data.
+- `DepMap_version_comparisons.ipynb` - Generate whole-genome plots and Brunner-Munzel probability plots for DepMap 19Q3, 22Q4 and 23Q2 data.
- `scPerturb_tables_heatmaps.ipynb` - Load scRNASeq datasets from scPerturb, run infercnv, compute chromosomal loss, generate result tables, and plot infercnv heatmaps for cells with specific loss.
# TODO:
diff --git a/VERSION b/VERSION
index 62b2334..01d2026 100644
--- a/VERSION
+++ b/VERSION
@@ -1,2 +1,2 @@
MAJOR="0"
-MINOR="11"
+MINOR="12"
diff --git a/proxbias/notebooks/DepMap_22q4_vs_23q2.ipynb b/proxbias/notebooks/DepMap_22q4_vs_23q2.ipynb
deleted file mode 100644
index b376baa..0000000
--- a/proxbias/notebooks/DepMap_22q4_vs_23q2.ipynb
+++ /dev/null
@@ -1,907 +0,0 @@
-{
- "cells": [
- {
- "cell_type": "code",
- "execution_count": 1,
- "id": "b4362eb5",
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- ""
- ],
- "text/plain": [
- ""
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
- "source": [
- "import os\n",
- "import numpy as np\n",
- "import pandas as pd\n",
- "import pickle\n",
- "\n",
- "import matplotlib.pyplot as plt\n",
- "import seaborn as sns\n",
- "import sklearn\n",
- "from sklearn.utils import Bunch\n",
- "\n",
- "# This is necesary for the svg output plots to have editable text\n",
- "plt.rcParams[\"svg.fonttype\"] = \"none\"\n",
- "\n",
- "# Just to make the notebook take up full screen real estate, not necessary\n",
- "from IPython.display import display, HTML\n",
- "\n",
- "display(HTML(\"\"))\n",
- "\n",
- "from proxbias import utils\n",
- "from proxbias.utils.df_tools import harmonize_data, make_pairwise_cos, make_split_cosmat\n",
- "from proxbias.utils.q_norm import q_norm\n",
- "from proxbias.plotting.heatmaps import plot_heatmap\n",
- "from proxbias.metrics import bm_metrics\n",
- "from proxbias.plotting.bm_bars import plot_bm_arm_bars, plot_bm_bar_pairs"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "38c8363c",
- "metadata": {},
- "source": [
- "# Load in DepMap dependency data for 22q4 and 23q2\n",
- "\n",
- "The `CRISPRGeneDependency.csv` files were downloaded from [here](https://depmap.org/portal/download/all/) for both the 22Q4 and 22Q2 datasets and moved into the `data/depmap22q4/` and `data/depmap23q2/` directories."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 2,
- "id": "5c5cebad",
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "22q4\n",
- "(17453, 1078)\n",
- "0 genes are missing dependency data, we drop them.\n",
- "23q2\n",
- "(17931, 1095)\n",
- "729 genes are missing dependency data, we drop them.\n"
- ]
- }
- ],
- "source": [
- "depmap_data = {}\n",
- "depmap_cleaned = {}\n",
- "for dataset in [\"22q4\", \"23q2\"]:\n",
- " print(dataset)\n",
- " data_dir = f\"../data/depmap{dataset}\"\n",
- " dependency_data = pd.read_csv(os.path.join(data_dir, \"CRISPRGeneDependency.csv\"), index_col=0).T\n",
- " dependency_data.index = [g.split(\" \")[0] for g in dependency_data.index] # remove entrez gene ids\n",
- " dependency_data.index.name = \"gene\"\n",
- " print(dependency_data.shape)\n",
- " depmap_data[dataset] = dependency_data\n",
- "\n",
- " ## Cleanup: Drop genes that don't have dependency data for all cell lines.\n",
- " n_cl_missing = dependency_data.isna().sum(axis=1)\n",
- " print(f\"{(n_cl_missing!=0).sum()} genes are missing dependency data, we drop them.\")\n",
- " depmap_cleaned[dataset] = dependency_data.loc[n_cl_missing == 0, :]"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "56b80924",
- "metadata": {},
- "source": [
- "## Distribution of dependency scores"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 3,
- "id": "f8862ad0",
- "metadata": {},
- "outputs": [
- {
- "data": {
- "image/png": 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",
- "text/plain": [
- ""
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- },
- {
- "data": {
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",
- "text/plain": [
- ""
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
- "source": [
- "for dataset in [\"22q4\", \"23q2\"]:\n",
- " plt.figure()\n",
- " plt.title(dataset)\n",
- " sns.histplot(np.random.choice(depmap_cleaned[dataset].values.flatten(), 10000));"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "ce3d21f8",
- "metadata": {},
- "source": [
- "### Center data"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 4,
- "id": "85fdf495",
- "metadata": {},
- "outputs": [],
- "source": [
- "depmap_centered = {}\n",
- "for dataset in [\"22q4\", \"23q2\"]:\n",
- " depmap_centered[dataset] = depmap_cleaned[dataset].sub(depmap_cleaned[dataset].mean(axis=1), axis=0)"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "d6eee5e6",
- "metadata": {},
- "source": [
- "## Distribution of dependency scores after centering per gene."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 5,
- "id": "0689b766",
- "metadata": {},
- "outputs": [
- {
- "data": {
- "image/png": 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",
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",
- "text/plain": [
- ""
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
- "source": [
- "for dataset in [\"22q4\", \"23q2\"]:\n",
- " plt.figure()\n",
- " plt.title(dataset)\n",
- " sns.histplot(np.random.choice(depmap_centered[dataset].values.flatten(), 10000));"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "22930312",
- "metadata": {},
- "source": [
- "# Add in chromosome positions\n",
- "Drop genes without annotations"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 6,
- "id": "305f10e2",
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Full data has 17453 genes, 17396 of which are in annotations\n",
- "Full data has 17202 genes, 17147 of which are in annotations\n"
- ]
- }
- ],
- "source": [
- "gene_dict, chrom_dict, band_dict = utils.chromosome_info.get_chromosome_info_as_dicts()\n",
- "genes = list(gene_dict.keys())\n",
- "\n",
- "depmap = {}\n",
- "for dataset in [\"22q4\", \"23q2\"]:\n",
- " # Subset to genes with chrom information from hg38\n",
- " idx = depmap_centered[dataset].query(f\"gene.isin({genes})\").index\n",
- " print(f\"Full data has {depmap_centered[dataset].shape[0]} genes, {len(idx)} of which are in annotations\")\n",
- " depmap[dataset] = depmap_centered[dataset].loc[idx]\n",
- "\n",
- " # Add in chromomsome information\n",
- " def _add_chr_info(df, gene_dict, in_nm, out_nm):\n",
- " df[out_nm] = (\n",
- " depmap[dataset].index.to_frame().gene.apply(lambda x: gene_dict[x][in_nm] if x in gene_dict else \"no_info\")\n",
- " )\n",
- " return df\n",
- "\n",
- " old_cols = depmap[dataset].columns.tolist()\n",
- " depmap[dataset] = _add_chr_info(depmap[dataset], gene_dict, \"chrom\", \"chromosome\")\n",
- " depmap[dataset] = _add_chr_info(depmap[dataset], gene_dict, \"chrom_int\", \"chr_idx\")\n",
- " depmap[dataset] = _add_chr_info(depmap[dataset], gene_dict, \"arm\", \"chromosome_arm\")\n",
- " depmap[dataset] = _add_chr_info(depmap[dataset], gene_dict, \"start\", \"gene_bp\")\n",
- "\n",
- " cols = [\"gene\", \"chromosome\", \"chr_idx\", \"chromosome_arm\", \"gene_bp\"]\n",
- " depmap[dataset] = depmap[dataset].reset_index().set_index(cols).sort_values([\"chr_idx\", \"gene_bp\"])"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 7,
- "id": "c16dc843",
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "\n",
- "\n",
- "
\n",
- " \n",
- " \n",
- " | \n",
- " | \n",
- " | \n",
- " | \n",
- " ModelID | \n",
- " ACH-000001 | \n",
- " ACH-000004 | \n",
- " ACH-000005 | \n",
- " ACH-000007 | \n",
- " ACH-000009 | \n",
- " ACH-000011 | \n",
- " ACH-000012 | \n",
- " ACH-000013 | \n",
- " ACH-000014 | \n",
- " ACH-000015 | \n",
- " ... | \n",
- " ACH-002672 | \n",
- " ACH-002680 | \n",
- " ACH-002687 | \n",
- " ACH-002693 | \n",
- " ACH-002710 | \n",
- " ACH-002785 | \n",
- " ACH-002800 | \n",
- " ACH-002834 | \n",
- " ACH-002847 | \n",
- " ACH-002926 | \n",
- "
\n",
- " \n",
- " | gene | \n",
- " chromosome | \n",
- " chr_idx | \n",
- " chromosome_arm | \n",
- " gene_bp | \n",
- " | \n",
- " | \n",
- " | \n",
- " | \n",
- " | \n",
- " | \n",
- " | \n",
- " | \n",
- " | \n",
- " | \n",
- " | \n",
- " | \n",
- " | \n",
- " | \n",
- " | \n",
- " | \n",
- " | \n",
- " | \n",
- " | \n",
- " | \n",
- " | \n",
- "
\n",
- " \n",
- " \n",
- " \n",
- " | SAMD11 | \n",
- " chr1 | \n",
- " 1 | \n",
- " chr1p | \n",
- " 923922 | \n",
- " -0.044585 | \n",
- " -0.042399 | \n",
- " -0.016482 | \n",
- " -0.047876 | \n",
- " 0.106571 | \n",
- " -0.046186 | \n",
- " -0.014407 | \n",
- " -0.028470 | \n",
- " -0.022098 | \n",
- " -0.037385 | \n",
- " ... | \n",
- " 0.023264 | \n",
- " 0.027425 | \n",
- " 0.001565 | \n",
- " -0.033055 | \n",
- " -0.023050 | \n",
- " -0.026351 | \n",
- " -0.039969 | \n",
- " -0.029151 | \n",
- " -0.034456 | \n",
- " -0.029809 | \n",
- "
\n",
- " \n",
- " | NOC2L | \n",
- " chr1 | \n",
- " 1 | \n",
- " chr1p | \n",
- " 944202 | \n",
- " -0.413684 | \n",
- " 0.186547 | \n",
- " -0.465314 | \n",
- " 0.192110 | \n",
- " 0.171907 | \n",
- " -0.032978 | \n",
- " 0.202669 | \n",
- " -0.051929 | \n",
- " 0.116841 | \n",
- " -0.025716 | \n",
- " ... | \n",
- " 0.191790 | \n",
- " 0.052890 | \n",
- " -0.347379 | \n",
- " 0.016054 | \n",
- " 0.149912 | \n",
- " 0.088715 | \n",
- " 0.179232 | \n",
- " -0.078525 | \n",
- " 0.170411 | \n",
- " 0.075313 | \n",
- "
\n",
- " \n",
- "
\n",
- "
2 rows × 1078 columns
\n",
- "
\n",
- "\n",
- "
\n",
- " \n",
- " \n",
- " | \n",
- " | \n",
- " | \n",
- " | \n",
- " ModelID | \n",
- " ACH-000001 | \n",
- " ACH-000004 | \n",
- " ACH-000005 | \n",
- " ACH-000007 | \n",
- " ACH-000009 | \n",
- " ACH-000011 | \n",
- " ACH-000012 | \n",
- " ACH-000013 | \n",
- " ACH-000014 | \n",
- " ACH-000015 | \n",
- " ... | \n",
- " ACH-002687 | \n",
- " ACH-002693 | \n",
- " ACH-002710 | \n",
- " ACH-002785 | \n",
- " ACH-002799 | \n",
- " ACH-002800 | \n",
- " ACH-002834 | \n",
- " ACH-002847 | \n",
- " ACH-002922 | \n",
- " ACH-002926 | \n",
- "
\n",
- " \n",
- " | gene | \n",
- " chromosome | \n",
- " chr_idx | \n",
- " chromosome_arm | \n",
- " gene_bp | \n",
- " | \n",
- " | \n",
- " | \n",
- " | \n",
- " | \n",
- " | \n",
- " | \n",
- " | \n",
- " | \n",
- " | \n",
- " | \n",
- " | \n",
- " | \n",
- " | \n",
- " | \n",
- " | \n",
- " | \n",
- " | \n",
- " | \n",
- " | \n",
- " | \n",
- "
\n",
- " \n",
- " \n",
- " \n",
- " | SAMD11 | \n",
- " chr1 | \n",
- " 1 | \n",
- " chr1p | \n",
- " 923922 | \n",
- " -0.026304 | \n",
- " -0.033231 | \n",
- " 0.009145 | \n",
- " -0.043516 | \n",
- " 0.110019 | \n",
- " -0.041632 | \n",
- " -0.024825 | \n",
- " -0.037381 | \n",
- " -0.023137 | \n",
- " -0.039153 | \n",
- " ... | \n",
- " -0.010375 | \n",
- " -0.037649 | \n",
- " -0.030746 | \n",
- " -0.030628 | \n",
- " -0.004704 | \n",
- " -0.036681 | \n",
- " -0.030431 | \n",
- " -0.033419 | \n",
- " -0.039891 | \n",
- " -0.030880 | \n",
- "
\n",
- " \n",
- " | NOC2L | \n",
- " chr1 | \n",
- " 1 | \n",
- " chr1p | \n",
- " 944202 | \n",
- " -0.616919 | \n",
- " 0.174306 | \n",
- " -0.402765 | \n",
- " 0.172815 | \n",
- " 0.123998 | \n",
- " 0.043032 | \n",
- " 0.168861 | \n",
- " 0.015425 | \n",
- " 0.115587 | \n",
- " 0.070701 | \n",
- " ... | \n",
- " -0.118170 | \n",
- " -0.008956 | \n",
- " 0.123311 | \n",
- " 0.080660 | \n",
- " -0.044955 | \n",
- " 0.132955 | \n",
- " -0.131677 | \n",
- " 0.151582 | \n",
- " 0.053820 | \n",
- " 0.098501 | \n",
- "
\n",
- " \n",
- "
\n",
- "
2 rows × 1095 columns
\n",
- "
"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
- "source": [
- "plot_heatmap(\n",
- " depmap_22q4_23q2_split,\n",
- " f_name=os.path.join(path, \"depmap_split.svg\"),\n",
- " format=\"svg\",\n",
- " show_chr_lines=True,\n",
- " show_cent_lines=True,\n",
- " crunch_factor=10,\n",
- " title=\"\",\n",
- ")"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "f7b34ff3",
- "metadata": {},
- "source": [
- "## Zoom in on chromosome 1"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 14,
- "id": "97dff4e3",
- "metadata": {},
- "outputs": [
- {
- "data": {
- "image/png": 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",
- "text/plain": [
- ""
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
- "source": [
- "idx = depmap_22q4_23q2_split.query('chromosome==\"chr1\"').index\n",
- "plot_heatmap(\n",
- " depmap_22q4_23q2_split.loc[idx, idx],\n",
- " f_name=os.path.join(path, \"depmap_split_chr1.svg\"),\n",
- " format=\"svg\",\n",
- " show_chr_lines=True,\n",
- " show_cent_lines=True,\n",
- " crunch_factor=5,\n",
- " title=\"\",\n",
- ")"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "80390f93",
- "metadata": {},
- "source": [
- "# Calculate BM stats"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 15,
- "id": "14eadfa9",
- "metadata": {},
- "outputs": [],
- "source": [
- "# Setting sample fraction helps avoid memory issues\n",
- "bm_all = {}\n",
- "bm_arm = {}\n",
- "for dataset in [\"22q4\", \"23q2\"]:\n",
- " bm_all[dataset], bm_arm[dataset] = bm_metrics(depmap_mat_norm[dataset], verbose=False, sample_frac=0.1)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 16,
- "id": "da01b579",
- "metadata": {},
- "outputs": [],
- "source": [
- "tmp1 = bm_arm[\"22q4\"].copy()\n",
- "tmp1.index.name = \"Chromosome arm\"\n",
- "tmp1 = tmp1.assign(Condition=\"22q4\")\n",
- "tmp1 = tmp1.reset_index().set_index([\"Condition\", \"Chromosome arm\"])\n",
- "\n",
- "tmp2 = bm_arm[\"23q2\"].copy()\n",
- "tmp2.index.name = \"Chromosome arm\"\n",
- "tmp2 = tmp2.assign(Condition=\"23q2\")\n",
- "tmp2 = tmp2.reset_index().set_index([\"Condition\", \"Chromosome arm\"])\n",
- "\n",
- "arm_stats_df = pd.concat([tmp1, tmp2])"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 17,
- "id": "92a790c9",
- "metadata": {},
- "outputs": [
- {
- "data": {
- "image/png": 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",
- "text/plain": [
- ""
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
- "source": [
- "tmp = arm_stats_df\n",
- "tmp = tmp.reset_index().rename(columns={\"prob\": \"P(intra-arm cosine > inter)\"})\n",
- "tmp = pd.concat([tmp.query('Condition==\"22q4\"'), tmp.query('Condition==\"23q2\"')])\n",
- "plot_bm_bar_pairs(\n",
- " tmp,\n",
- " x=\"Chromosome arm\",\n",
- " y=\"P(intra-arm cosine > inter)\",\n",
- " hue=\"Condition\",\n",
- " lab1=\"22q4\",\n",
- " lab2=\"23q2\",\n",
- " i=1,\n",
- " legend_loc=\"upper left\",\n",
- " f_name=os.path.join(path, \"depmap_split_bars.svg\"),\n",
- ")"
- ]
- }
- ],
- "metadata": {
- "kernelspec": {
- "display_name": "Python 3 (ipykernel)",
- "language": "python",
- "name": "python3"
- },
- "language_info": {
- "codemirror_mode": {
- "name": "ipython",
- "version": 3
- },
- "file_extension": ".py",
- "mimetype": "text/x-python",
- "name": "python",
- "nbconvert_exporter": "python",
- "pygments_lexer": "ipython3",
- "version": "3.9.7"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/proxbias/notebooks/DepMap_PB_Driver_Analysis.ipynb b/proxbias/notebooks/DepMap_PB_Driver_Analysis.ipynb
deleted file mode 100644
index 96e39d6..0000000
--- a/proxbias/notebooks/DepMap_PB_Driver_Analysis.ipynb
+++ /dev/null
@@ -1,1141 +0,0 @@
-{
- "cells": [
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "import pandas as pd\n",
- "\n",
- "from proxbias.depmap.process import compute_monte_carlo_stats, split_models\n",
- "from proxbias.depmap.load import get_depmap_data\n",
- "from proxbias.utils.data_utils import get_cancer_gene_lists\n",
- "from proxbias.metrics import genome_proximity_bias_score"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "crispr_effect, _, cnv_data, mutation_data = get_depmap_data(rnai_release=\"\")\n",
- "oncogenes, tsgs = get_cancer_gene_lists(crispr_effect.index)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "tp53_lof_models, tp53_wt_models, tp53_amp_models, _ = split_models(\n",
- " gene_symbol=\"TP53\", candidate_models=crispr_effect.columns, cnv_data=cnv_data, mutation_data=mutation_data\n",
- ")\n",
- "\n",
- "_, _, tp53_amp_filtered_models, _ = split_models(\n",
- " gene_symbol=\"TP53\",\n",
- " candidate_models=crispr_effect.columns,\n",
- " cnv_data=cnv_data,\n",
- " mutation_data=mutation_data,\n",
- " filter_amp=True,\n",
- ")"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# Note - n_workers should likely be around half the number of CPUs\n",
- "res = compute_monte_carlo_stats(\n",
- " genes_of_interest=[\"TP53\"],\n",
- " dependency_data=crispr_effect,\n",
- " cnv_data=cnv_data,\n",
- " mutation_data=mutation_data,\n",
- " candidate_models=list(crispr_effect.columns),\n",
- " search_mode=\"lof\",\n",
- " n_iterations=128,\n",
- " eval_function=genome_proximity_bias_score,\n",
- " eval_kwargs={\"n_samples\": 500, \"n_trials\": 200, \"return_samples\": False},\n",
- " n_workers=1,\n",
- " filter_amp=True,\n",
- ")\n",
- "res.to_csv(\"outputs/TP53_lof_results.csv\")"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# top on TP53 LOF\n",
- "\n",
- "fixed_sampling_lof_tp53_lof = compute_monte_carlo_stats(\n",
- " genes_of_interest=tsgs + oncogenes,\n",
- " dependency_data=crispr_effect,\n",
- " cnv_data=cnv_data,\n",
- " mutation_data=mutation_data,\n",
- " candidate_models=tp53_lof_models,\n",
- " search_mode=\"lof\",\n",
- " n_iterations=32,\n",
- " eval_function=genome_proximity_bias_score,\n",
- " eval_kwargs={\"n_samples\": 500, \"n_trials\": 200, \"return_samples\": False},\n",
- " n_workers=64,\n",
- " fixed_cell_line_sampling=True,\n",
- ")\n",
- "fixed_sampling_lof_tp53_lof.to_csv(\"outputs/fixed_sampling_lof_results_tp53_lof.csv\")\n",
- "\n",
- "fixed_sampling_amp_filtered_tp53_lof = compute_monte_carlo_stats(\n",
- " genes_of_interest=tsgs + oncogenes,\n",
- " dependency_data=crispr_effect,\n",
- " cnv_data=cnv_data,\n",
- " mutation_data=mutation_data,\n",
- " candidate_models=tp53_lof_models,\n",
- " search_mode=\"amp\",\n",
- " n_iterations=32,\n",
- " eval_function=genome_proximity_bias_score,\n",
- " eval_kwargs={\"n_samples\": 500, \"n_trials\": 200, \"return_samples\": False},\n",
- " n_workers=64,\n",
- " fixed_cell_line_sampling=True,\n",
- " filter_amp=True,\n",
- ")\n",
- "fixed_sampling_amp_filtered_tp53_lof.to_csv(\"outputs/fixed_sampling_amp_filtered_results_tp53_lof.csv\")\n",
- "\n",
- "# top on TP53 WT\n",
- "\n",
- "fixed_sampling_lof_tp53_wt = compute_monte_carlo_stats(\n",
- " genes_of_interest=tsgs + oncogenes,\n",
- " dependency_data=crispr_effect,\n",
- " cnv_data=cnv_data,\n",
- " mutation_data=mutation_data,\n",
- " candidate_models=tp53_wt_models,\n",
- " search_mode=\"lof\",\n",
- " n_iterations=32,\n",
- " eval_function=genome_proximity_bias_score,\n",
- " eval_kwargs={\"n_samples\": 500, \"n_trials\": 200, \"return_samples\": False},\n",
- " n_workers=64,\n",
- " fixed_cell_line_sampling=True,\n",
- ")\n",
- "fixed_sampling_lof_tp53_wt.to_csv(\"outputs/fixed_sampling_lof_results_tp53_wt.csv\")\n",
- "\n",
- "fixed_sampling_amp_filtered_tp53_wt = compute_monte_carlo_stats(\n",
- " genes_of_interest=tsgs + oncogenes,\n",
- " dependency_data=crispr_effect,\n",
- " cnv_data=cnv_data,\n",
- " mutation_data=mutation_data,\n",
- " candidate_models=tp53_wt_models,\n",
- " search_mode=\"amp\",\n",
- " n_iterations=32,\n",
- " eval_function=genome_proximity_bias_score,\n",
- " eval_kwargs={\"n_samples\": 500, \"n_trials\": 200, \"return_samples\": False},\n",
- " n_workers=64,\n",
- " fixed_cell_line_sampling=True,\n",
- " filter_amp=True,\n",
- ")\n",
- "fixed_sampling_amp_filtered_tp53_wt.to_csv(\"outputs/fixed_sampling_amp_filtered_results_tp53_wt.csv\")"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "fixed_sampling_lof_tp53_lof = pd.read_csv(\"outputs/fixed_sampling_lof_results_tp53_lof.csv\", index_col=0)\n",
- "fixed_sampling_lof_tp53_lof[\"tp53\"] = \"lof\"\n",
- "fixed_sampling_amp_filtered_tp53_lof = pd.read_csv(\n",
- " \"outputs/fixed_sampling_amp_filtered_results_tp53_lof.csv\", index_col=0\n",
- ")\n",
- "fixed_sampling_amp_filtered_tp53_lof[\"tp53\"] = \"lof\"\n",
- "fixed_sampling_lof_tp53_wt = pd.read_csv(\"outputs/fixed_sampling_lof_results_tp53_wt.csv\", index_col=0)\n",
- "fixed_sampling_lof_tp53_wt[\"tp53\"] = \"wt\"\n",
- "fixed_sampling_amp_filtered_tp53_wt = pd.read_csv(\n",
- " \"outputs/fixed_sampling_amp_filtered_results_tp53_wt.csv\", index_col=0\n",
- ")\n",
- "fixed_sampling_amp_filtered_tp53_wt[\"tp53\"] = \"wt\"\n",
- "combined = pd.concat(\n",
- " [\n",
- " fixed_sampling_lof_tp53_lof,\n",
- " fixed_sampling_amp_filtered_tp53_lof,\n",
- " fixed_sampling_lof_tp53_wt,\n",
- " fixed_sampling_amp_filtered_tp53_wt,\n",
- " ]\n",
- ")\n",
- "combined[\"abs_diff\"] = combined[\"diff\"].abs()\n",
- "combined.to_csv(\"outputs/fixed_sampling.csv\")\n",
- "for tp53 in [\"lof\", \"wt\"]:\n",
- " for search_mode in [\"lof\", \"amp\"]:\n",
- " for ascending in [True, False]:\n",
- " print(f\"tp53: {tp53}, search_mode: {search_mode}, {'bottom' if ascending else 'top'} \\n \\n\")\n",
- " if ascending:\n",
- " candidates = combined.loc[\n",
- " (combined[\"tp53\"] == tp53) & (combined[\"search_mode\"] == search_mode) & (combined[\"diff\"] <= -0.01)\n",
- " ]\n",
- " else:\n",
- " candidates = combined.loc[\n",
- " (combined[\"tp53\"] == tp53) & (combined[\"search_mode\"] == search_mode) & (combined[\"diff\"] >= 0.02)\n",
- " ]\n",
- " for gene in candidates.sort_values(\"abs_diff\", ascending=ascending).index:\n",
- " print(f\"{gene},\")\n",
- " print(\"\\n\\n\\n\")"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "interesting = (\n",
- " combined.loc[(combined[\"search_mode\"] == \"amp\") & (combined[\"diff\"] <= -0.01)]\n",
- " .sort_values(\"abs_diff\", ascending=False)\n",
- " .index\n",
- ")"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "interesting_subset = (\n",
- " combined.loc[interesting]\n",
- " .reset_index()\n",
- " .sort_values(\"abs_diff\", ascending=False)\n",
- " .groupby(\"index\")\n",
- " .abs_diff.apply(lambda x: x.max() - x.min())\n",
- " .sort_values(ascending=False)\n",
- " .index[:5]\n",
- ")\n",
- "\n",
- "combined.loc[interesting_subset]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# Subset down to the genes that seem to have a strong effect based off of 4 iterations\n",
- "\n",
- "all_lof_tp53_wt = compute_monte_carlo_stats(\n",
- " genes_of_interest=tsgs + oncogenes,\n",
- " dependency_data=crispr_effect,\n",
- " cnv_data=cnv_data,\n",
- " mutation_data=mutation_data,\n",
- " candidate_models=tp53_wt_models,\n",
- " search_mode=\"lof\",\n",
- " n_iterations=4,\n",
- " eval_function=genome_proximity_bias_score,\n",
- " eval_kwargs={\"n_samples\": 500, \"n_trials\": 200, \"return_samples\": False},\n",
- " n_workers=32,\n",
- ")\n",
- "\n",
- "all_amp_tp53_wt = compute_monte_carlo_stats(\n",
- " genes_of_interest=tsgs + oncogenes,\n",
- " dependency_data=crispr_effect,\n",
- " cnv_data=cnv_data,\n",
- " mutation_data=mutation_data,\n",
- " candidate_models=tp53_wt_models,\n",
- " search_mode=\"amp\",\n",
- " n_iterations=4,\n",
- " eval_function=genome_proximity_bias_score,\n",
- " eval_kwargs={\"n_samples\": 500, \"n_trials\": 200, \"return_samples\": False},\n",
- " n_workers=32,\n",
- " filter_amp=True,\n",
- ")\n",
- "\n",
- "four_iteration_tp53_wt = pd.concat([all_lof_tp53_wt, all_amp_tp53_wt], axis=0)\n",
- "four_iteration_tp53_wt.to_csv(\"outputs/four_iteration_tp53_wt_results.csv\")"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "all_lof_tp53_lof = compute_monte_carlo_stats(\n",
- " genes_of_interest=tsgs + oncogenes,\n",
- " dependency_data=crispr_effect,\n",
- " cnv_data=cnv_data,\n",
- " mutation_data=mutation_data,\n",
- " candidate_models=tp53_lof_models,\n",
- " search_mode=\"lof\",\n",
- " n_iterations=4,\n",
- " eval_function=genome_proximity_bias_score,\n",
- " eval_kwargs={\"n_samples\": 500, \"n_trials\": 200, \"return_samples\": False},\n",
- " n_workers=32,\n",
- ")\n",
- "\n",
- "all_amp_tp53_lof = compute_monte_carlo_stats(\n",
- " genes_of_interest=tsgs + oncogenes,\n",
- " dependency_data=crispr_effect,\n",
- " cnv_data=cnv_data,\n",
- " mutation_data=mutation_data,\n",
- " candidate_models=tp53_lof_models,\n",
- " search_mode=\"amp\",\n",
- " n_iterations=4,\n",
- " eval_function=genome_proximity_bias_score,\n",
- " eval_kwargs={\"n_samples\": 500, \"n_trials\": 200, \"return_samples\": False},\n",
- " n_workers=32,\n",
- " filter_amp=True,\n",
- ")\n",
- "\n",
- "four_iteration_tp53_lof = pd.concat([all_lof_tp53_lof, all_amp_tp53_lof], axis=0)\n",
- "four_iteration_tp53_lof.to_csv(\"outputs/four_iteration_tp53_lof_results.csv\")"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "four_iteration_tp53_lof = pd.read_csv(\"outputs/four_iteration_tp53_lof_results.csv\", index_col=0)\n",
- "four_iteration_tp53_lof[\"abs_diff\"] = four_iteration_tp53_lof[\"diff\"].abs()\n",
- "four_iteration_tp53_lof[\"tp53\"] = \"lof\"\n",
- "\n",
- "four_iteration_tp53_wt = pd.read_csv(\"outputs/four_iteration_tp53_wt_results.csv\", index_col=0)\n",
- "four_iteration_tp53_wt[\"abs_diff\"] = four_iteration_tp53_wt[\"diff\"].abs()\n",
- "four_iteration_tp53_wt[\"tp53\"] = \"wt\"\n",
- "\n",
- "combined = pd.concat([four_iteration_tp53_lof, four_iteration_tp53_wt], axis=0)\n",
- "combined = combined.sort_values(\"abs_diff\", ascending=False)\n",
- "\n",
- "top_lof_genes = list(combined.loc[combined[\"tp53\"] == \"lof\"].index.unique()[:100])\n",
- "top_wt_genes = list(combined.loc[combined[\"tp53\"] == \"wt\"].index.unique()[:100])"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "combined.to_csv(\"outputs/combined_four_results.csv\")"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "combined.loc[\"MDM4\"]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "combined.head(50)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "max_diff = (\n",
- " combined.reset_index().groupby([\"index\"])[\"diff\"].apply(lambda x: x.max() - x.min()).sort_values(ascending=False)\n",
- ")\n",
- "\n",
- "combined.loc[max_diff.index[0:20]]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# top on TP53 LOF\n",
- "\n",
- "res_top_lof_tp53_lof = compute_monte_carlo_stats(\n",
- " genes_of_interest=top_lof_genes,\n",
- " dependency_data=crispr_effect,\n",
- " cnv_data=cnv_data,\n",
- " mutation_data=mutation_data,\n",
- " candidate_models=tp53_lof_models,\n",
- " search_mode=\"lof\",\n",
- " n_iterations=32,\n",
- " eval_function=genome_proximity_bias_score,\n",
- " eval_kwargs={\"n_samples\": 500, \"n_trials\": 200, \"return_samples\": False},\n",
- " n_workers=32,\n",
- ")\n",
- "res_top_lof_tp53_lof.to_csv(\"outputs/top_lof_results_tp53_lof.csv\")\n",
- "\n",
- "res_top_amp_tp53_lof = compute_monte_carlo_stats(\n",
- " genes_of_interest=top_lof_genes,\n",
- " dependency_data=crispr_effect,\n",
- " cnv_data=cnv_data,\n",
- " mutation_data=mutation_data,\n",
- " candidate_models=tp53_lof_models,\n",
- " search_mode=\"amp\",\n",
- " n_iterations=32,\n",
- " eval_function=genome_proximity_bias_score,\n",
- " eval_kwargs={\"n_samples\": 500, \"n_trials\": 200, \"return_samples\": False},\n",
- " n_workers=32,\n",
- ")\n",
- "res_top_amp_tp53_lof.to_csv(\"outputs/top_amp_results_tp53_lof.csv\")\n",
- "\n",
- "res_top_amp_filtered_tp53_lof = compute_monte_carlo_stats(\n",
- " genes_of_interest=top_lof_genes,\n",
- " dependency_data=crispr_effect,\n",
- " cnv_data=cnv_data,\n",
- " mutation_data=mutation_data,\n",
- " candidate_models=tp53_lof_models,\n",
- " search_mode=\"amp\",\n",
- " n_iterations=32,\n",
- " eval_function=genome_proximity_bias_score,\n",
- " eval_kwargs={\"n_samples\": 500, \"n_trials\": 200, \"return_samples\": False},\n",
- " n_workers=32,\n",
- " filter_amp=True,\n",
- ")\n",
- "res_top_amp_filtered_tp53_lof.to_csv(\"outputs/top_amp_filtered_results_tp53_lof.csv\")\n",
- "\n",
- "# top on TP53 WT\n",
- "\n",
- "res_top_lof_tp53_wt = compute_monte_carlo_stats(\n",
- " genes_of_interest=top_wt_genes,\n",
- " dependency_data=crispr_effect,\n",
- " cnv_data=cnv_data,\n",
- " mutation_data=mutation_data,\n",
- " candidate_models=tp53_wt_models,\n",
- " search_mode=\"lof\",\n",
- " n_iterations=32,\n",
- " eval_function=genome_proximity_bias_score,\n",
- " eval_kwargs={\"n_samples\": 500, \"n_trials\": 200, \"return_samples\": False},\n",
- " n_workers=32,\n",
- ")\n",
- "res_top_lof_tp53_wt.to_csv(\"outputs/top_lof_results_tp53_wt.csv\")\n",
- "\n",
- "res_top_amp_tp53_wt = compute_monte_carlo_stats(\n",
- " genes_of_interest=top_wt_genes,\n",
- " dependency_data=crispr_effect,\n",
- " cnv_data=cnv_data,\n",
- " mutation_data=mutation_data,\n",
- " candidate_models=tp53_wt_models,\n",
- " search_mode=\"amp\",\n",
- " n_iterations=32,\n",
- " eval_function=genome_proximity_bias_score,\n",
- " eval_kwargs={\"n_samples\": 500, \"n_trials\": 200, \"return_samples\": False},\n",
- " n_workers=32,\n",
- ")\n",
- "res_top_amp_tp53_wt.to_csv(\"outputs/top_amp_results_tp53_wt.csv\")\n",
- "\n",
- "res_top_amp_filtered_tp53_wt = compute_monte_carlo_stats(\n",
- " genes_of_interest=top_wt_genes,\n",
- " dependency_data=crispr_effect,\n",
- " cnv_data=cnv_data,\n",
- " mutation_data=mutation_data,\n",
- " candidate_models=tp53_wt_models,\n",
- " search_mode=\"amp\",\n",
- " n_iterations=32,\n",
- " eval_function=genome_proximity_bias_score,\n",
- " eval_kwargs={\"n_samples\": 500, \"n_trials\": 200, \"return_samples\": False},\n",
- " n_workers=32,\n",
- " filter_amp=True,\n",
- ")\n",
- "res_top_amp_filtered_tp53_wt.to_csv(\"outputs/top_amp_filtered_results_tp53_wt.csv\")"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "res_top_lof_tp53_wt = pd.read_csv(\"outputs/top_lof_results_tp53_wt.csv\", index_col=0)\n",
- "res_top_amp_filtered_tp53_wt = pd.read_csv(\"outputs/top_amp_results_tp53_wt.csv\", index_col=0)\n",
- "res_top_lof_tp53_wt[\"abs_diff\"] = res_top_lof_tp53_wt[\"diff\"].abs()\n",
- "res_top_amp_filtered_tp53_wt[\"abs_diff\"] = res_top_amp_filtered_tp53_wt[\"diff\"].abs()\n",
- "res_top_lof_tp53_wt[\"tp53\"] = \"wt\"\n",
- "res_top_amp_filtered_tp53_wt[\"tp53\"] = \"wt\"\n",
- "\n",
- "res_top_lof_tp53_lof = pd.read_csv(\"outputs/top_lof_results_tp53_lof.csv\", index_col=0)\n",
- "res_top_amp_filtered_tp53_lof = pd.read_csv(\"outputs/top_amp_results_tp53_lof.csv\", index_col=0)\n",
- "res_top_lof_tp53_lof[\"abs_diff\"] = res_top_lof_tp53_lof[\"diff\"].abs()\n",
- "res_top_amp_filtered_tp53_lof[\"abs_diff\"] = res_top_amp_filtered_tp53_lof[\"diff\"].abs()\n",
- "res_top_lof_tp53_lof[\"tp53\"] = \"lof\"\n",
- "res_top_amp_filtered_tp53_lof[\"tp53\"] = \"lof\""
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "overall = pd.concat(\n",
- " [res_top_lof_tp53_wt, res_top_amp_filtered_tp53_wt, res_top_lof_tp53_lof, res_top_amp_filtered_tp53_lof], axis=0\n",
- ")"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "overall.sort_values(\"abs_diff\", ascending=False).head(50)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "overall.sort_values(\"abs_diff\", ascending=False).to_csv(\"top_drivers.csv\")"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "bottom_tp53_wt_lof = list(\n",
- " overall.loc[(overall[\"tp53\"] == \"wt\") & (overall[\"search_mode\"] == \"lof\")]\n",
- " .sort_values(\"diff\", ascending=True)\n",
- " .index[:20]\n",
- ")\n",
- "bottom_tp53_wt_amp = list(\n",
- " overall.loc[(overall[\"tp53\"] == \"wt\") & (overall[\"search_mode\"] == \"amp\")]\n",
- " .sort_values(\"diff\", ascending=True)\n",
- " .index[:20]\n",
- ")\n",
- "bottom_tp53_lof_lof = list(\n",
- " overall.loc[(overall[\"tp53\"] == \"lof\") & (overall[\"search_mode\"] == \"lof\")]\n",
- " .sort_values(\"diff\", ascending=True)\n",
- " .index[:20]\n",
- ")\n",
- "bottom_tp53_lof_amp = list(\n",
- " overall.loc[(overall[\"tp53\"] == \"lof\") & (overall[\"search_mode\"] == \"amp\")]\n",
- " .sort_values(\"diff\", ascending=True)\n",
- " .index[:20]\n",
- ")\n",
- "\n",
- "top_tp53_wt_lof = list(\n",
- " overall.loc[(overall[\"tp53\"] == \"wt\") & (overall[\"search_mode\"] == \"lof\")]\n",
- " .sort_values(\"diff\", ascending=False)\n",
- " .index[:20]\n",
- ")\n",
- "top_tp53_wt_amp = list(\n",
- " overall.loc[(overall[\"tp53\"] == \"wt\") & (overall[\"search_mode\"] == \"amp\")]\n",
- " .sort_values(\"diff\", ascending=False)\n",
- " .index[:20]\n",
- ")\n",
- "top_tp53_lof_lof = list(\n",
- " overall.loc[(overall[\"tp53\"] == \"lof\") & (overall[\"search_mode\"] == \"lof\")]\n",
- " .sort_values(\"diff\", ascending=False)\n",
- " .index[:20]\n",
- ")\n",
- "top_tp53_lof_amp = list(\n",
- " overall.loc[(overall[\"tp53\"] == \"lof\") & (overall[\"search_mode\"] == \"amp\")]\n",
- " .sort_values(\"diff\", ascending=False)\n",
- " .index[:20]\n",
- ")"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "for gene in top_tp53_lof_amp:\n",
- " print(f\"{gene},\")"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# curated genes\n",
- "\n",
- "curated_genes = [\n",
- " \"SETBP1\",\n",
- " \"PTPRD\",\n",
- " \"PTPN2\",\n",
- " \"JAK2\",\n",
- " \"BRCA2\",\n",
- " \"PDGFB\",\n",
- " \"SMARCA2\",\n",
- " \"BMPR1A\",\n",
- " \"MDM4\",\n",
- " \"MDM2\",\n",
- " \"BTG2\",\n",
- " \"CDKN2A\",\n",
- " \"CDKN2B\",\n",
- " \"CDKN2C\",\n",
- " \"KRAS\",\n",
- " \"CCND2\",\n",
- "]\n",
- "\n",
- "curated_lof_tp53_lof = compute_monte_carlo_stats(\n",
- " genes_of_interest=curated_genes,\n",
- " dependency_data=crispr_effect,\n",
- " cnv_data=cnv_data,\n",
- " mutation_data=mutation_data,\n",
- " candidate_models=tp53_lof_models,\n",
- " search_mode=\"lof\",\n",
- " n_iterations=128,\n",
- " eval_function=genome_proximity_bias_score,\n",
- " eval_kwargs={\"n_samples\": 500, \"n_trials\": 200, \"return_samples\": False},\n",
- " n_workers=16,\n",
- ")\n",
- "curated_lof_tp53_lof.to_csv(\"outputs/curated_lof_results_tp53_lof.csv\")\n",
- "\n",
- "curated_amp_tp53_lof = compute_monte_carlo_stats(\n",
- " genes_of_interest=curated_genes,\n",
- " dependency_data=crispr_effect,\n",
- " cnv_data=cnv_data,\n",
- " mutation_data=mutation_data,\n",
- " candidate_models=tp53_lof_models,\n",
- " search_mode=\"amp\",\n",
- " n_iterations=128,\n",
- " eval_function=genome_proximity_bias_score,\n",
- " eval_kwargs={\"n_samples\": 500, \"n_trials\": 200, \"return_samples\": False},\n",
- " n_workers=16,\n",
- ")\n",
- "curated_amp_tp53_lof.to_csv(\"outputs/curated_amp_results_tp53_lof.csv\")\n",
- "\n",
- "curated_amp_filtered_tp53_lof = compute_monte_carlo_stats(\n",
- " genes_of_interest=curated_genes,\n",
- " dependency_data=crispr_effect,\n",
- " cnv_data=cnv_data,\n",
- " mutation_data=mutation_data,\n",
- " candidate_models=tp53_lof_models,\n",
- " search_mode=\"amp\",\n",
- " n_iterations=128,\n",
- " eval_function=genome_proximity_bias_score,\n",
- " eval_kwargs={\"n_samples\": 500, \"n_trials\": 200, \"return_samples\": False},\n",
- " n_workers=16,\n",
- " filter_amp=True,\n",
- ")\n",
- "curated_amp_filtered_tp53_lof.to_csv(\"outputs/curated_amp_filtered_results_tp53_lof.csv\")\n",
- "\n",
- "# top on TP53 WT\n",
- "\n",
- "curated_lof_tp53_wt = compute_monte_carlo_stats(\n",
- " genes_of_interest=curated_genes,\n",
- " dependency_data=crispr_effect,\n",
- " cnv_data=cnv_data,\n",
- " mutation_data=mutation_data,\n",
- " candidate_models=tp53_wt_models,\n",
- " search_mode=\"lof\",\n",
- " n_iterations=128,\n",
- " eval_function=genome_proximity_bias_score,\n",
- " eval_kwargs={\"n_samples\": 500, \"n_trials\": 200, \"return_samples\": False},\n",
- " n_workers=16,\n",
- ")\n",
- "curated_lof_tp53_wt.to_csv(\"outputs/curated_lof_results_tp53_wt.csv\")\n",
- "\n",
- "curated_amp_tp53_wt = compute_monte_carlo_stats(\n",
- " genes_of_interest=curated_genes,\n",
- " dependency_data=crispr_effect,\n",
- " cnv_data=cnv_data,\n",
- " mutation_data=mutation_data,\n",
- " candidate_models=tp53_wt_models,\n",
- " search_mode=\"amp\",\n",
- " n_iterations=128,\n",
- " eval_function=genome_proximity_bias_score,\n",
- " eval_kwargs={\"n_samples\": 500, \"n_trials\": 200, \"return_samples\": False},\n",
- " n_workers=16,\n",
- ")\n",
- "curated_amp_tp53_wt.to_csv(\"outputs/curated_amp_results_tp53_wt.csv\")\n",
- "\n",
- "curated_amp_filtered_tp53_wt = compute_monte_carlo_stats(\n",
- " genes_of_interest=curated_genes,\n",
- " dependency_data=crispr_effect,\n",
- " cnv_data=cnv_data,\n",
- " mutation_data=mutation_data,\n",
- " candidate_models=tp53_wt_models,\n",
- " search_mode=\"amp\",\n",
- " n_iterations=128,\n",
- " eval_function=genome_proximity_bias_score,\n",
- " eval_kwargs={\"n_samples\": 500, \"n_trials\": 200, \"return_samples\": False},\n",
- " n_workers=16,\n",
- " filter_amp=True,\n",
- ")\n",
- "curated_amp_filtered_tp53_wt.to_csv(\"outputs/curated_amp_filtered_results_tp53_wt.csv\")"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "curated_lof_tp53_wt = pd.read_csv(\"outputs/curated_lof_results_tp53_wt.csv\", index_col=0)\n",
- "curated_amp_filtered_tp53_wt = pd.read_csv(\"outputs/curated_amp_results_tp53_wt.csv\", index_col=0)\n",
- "curated_lof_tp53_wt[\"abs_diff\"] = curated_lof_tp53_wt[\"diff\"].abs()\n",
- "curated_amp_filtered_tp53_wt[\"abs_diff\"] = curated_amp_filtered_tp53_wt[\"diff\"].abs()\n",
- "curated_lof_tp53_wt[\"tp53\"] = \"wt\"\n",
- "curated_amp_filtered_tp53_wt[\"tp53\"] = \"wt\"\n",
- "\n",
- "curated_lof_tp53_lof = pd.read_csv(\"outputs/curated_lof_results_tp53_lof.csv\", index_col=0)\n",
- "curated_amp_filtered_tp53_lof = pd.read_csv(\"outputs/curated_amp_results_tp53_lof.csv\", index_col=0)\n",
- "curated_lof_tp53_lof[\"abs_diff\"] = curated_lof_tp53_lof[\"diff\"].abs()\n",
- "curated_amp_filtered_tp53_lof[\"abs_diff\"] = curated_amp_filtered_tp53_lof[\"diff\"].abs()\n",
- "curated_lof_tp53_lof[\"tp53\"] = \"lof\"\n",
- "curated_amp_filtered_tp53_lof[\"tp53\"] = \"lof\""
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "curated = pd.concat(\n",
- " [curated_lof_tp53_wt, curated_amp_filtered_tp53_wt, curated_lof_tp53_lof, curated_amp_filtered_tp53_lof], axis=0\n",
- ")\n",
- "curated.sort_index()[[\"tp53\", \"search_mode\", \"diff\", \"wt_mean\", \"test_mean\", \"n_samples\"]]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "all_genes = oncogenes + tsgs\n",
- "\n",
- "gene_dict = {}\n",
- "for gene in all_genes:\n",
- " tp53_lof_models, tp53_wt_models, tp53_amp_models\n",
- " tp53_lof_lof, tp53_lof_wt, tp53_lof_amp, _ = split_models(\n",
- " gene, candidate_models=tp53_lof_models, cnv_data=cnv_data, mutation_data=mutation_data\n",
- " )\n",
- " tp53_wt_lof, tp53_wt_wt, tp53_wt_amp, _ = split_models(\n",
- " gene, candidate_models=tp53_wt_models, cnv_data=cnv_data, mutation_data=mutation_data\n",
- " )\n",
- " tp53_amp_lof, tp53_amp_wt, tp53_amp_amp, _ = split_models(\n",
- " gene, candidate_models=tp53_amp_models, cnv_data=cnv_data, mutation_data=mutation_data\n",
- " )\n",
- " gene_dict[gene] = [\n",
- " len(tp53_lof_lof),\n",
- " len(tp53_lof_wt),\n",
- " len(tp53_lof_amp),\n",
- " len(tp53_wt_lof),\n",
- " len(tp53_wt_wt),\n",
- " len(tp53_wt_amp),\n",
- " len(tp53_amp_lof),\n",
- " len(tp53_amp_wt),\n",
- " len(tp53_amp_amp),\n",
- " ]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "cell_line_counts = pd.DataFrame.from_dict(\n",
- " gene_dict,\n",
- " orient=\"index\",\n",
- " columns=[\n",
- " \"tp53_lof_gene_lof\",\n",
- " \"tp53_lof_gene_wt\",\n",
- " \"tp53_lof_gene_amp\",\n",
- " \"tp53_wt_gene_lof\",\n",
- " \"tp53_wt_gene_wt\",\n",
- " \"tp53_wt_gene_amp\",\n",
- " \"tp53_amp_gene_lof\",\n",
- " \"tp53_amp_gene_wt\",\n",
- " \"tp53_amp_gene_amp\",\n",
- " ],\n",
- ")"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "cell_line_counts.to_csv(\"cell_line_counts.csv\")"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "bottom_tp53_wt_lof = overall.loc[(overall[\"tp53\"] == \"wt\") & (overall[\"search_mode\"] == \"lof\")].sort_values(\n",
- " \"diff\", ascending=True\n",
- ")\n",
- "bottom_tp53_wt_amp = overall.loc[(overall[\"tp53\"] == \"wt\") & (overall[\"search_mode\"] == \"amp\")].sort_values(\n",
- " \"diff\", ascending=True\n",
- ")\n",
- "bottom_tp53_lof_lof = overall.loc[(overall[\"tp53\"] == \"lof\") & (overall[\"search_mode\"] == \"lof\")].sort_values(\n",
- " \"diff\", ascending=True\n",
- ")\n",
- "bottom_tp53_lof_amp = overall.loc[(overall[\"tp53\"] == \"lof\") & (overall[\"search_mode\"] == \"amp\")].sort_values(\n",
- " \"diff\", ascending=True\n",
- ")\n",
- "top_tp53_wt_lof = overall.loc[(overall[\"tp53\"] == \"wt\") & (overall[\"search_mode\"] == \"lof\")].sort_values(\n",
- " \"diff\", ascending=False\n",
- ")\n",
- "top_tp53_wt_amp = overall.loc[(overall[\"tp53\"] == \"wt\") & (overall[\"search_mode\"] == \"amp\")].sort_values(\n",
- " \"diff\", ascending=False\n",
- ")\n",
- "top_tp53_lof_lof = overall.loc[(overall[\"tp53\"] == \"lof\") & (overall[\"search_mode\"] == \"lof\")].sort_values(\n",
- " \"diff\", ascending=False\n",
- ")\n",
- "top_tp53_lof_amp = overall.loc[(overall[\"tp53\"] == \"lof\") & (overall[\"search_mode\"] == \"amp\")].sort_values(\n",
- " \"diff\", ascending=False\n",
- ")"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# select genes\n",
- "\n",
- "select_genes = [\n",
- " \"SETBP1\",\n",
- " \"PTPRD\",\n",
- " \"PTPN2\",\n",
- " \"JAK2\",\n",
- " \"BRCA2\",\n",
- " \"PDGFB\",\n",
- " \"SMARCA2\",\n",
- " \"BMPR1A\",\n",
- " \"MDM4\",\n",
- " \"MDM2\",\n",
- " \"BTG2\",\n",
- " \"CDKN2A\",\n",
- " \"CDKN2B\",\n",
- " \"CDKN2C\",\n",
- " \"KRAS\",\n",
- " \"CCND2\",\n",
- "]\n",
- "\n",
- "select_lof_tp53_lof = compute_monte_carlo_stats(\n",
- " genes_of_interest=select_genes,\n",
- " dependency_data=crispr_effect,\n",
- " cnv_data=cnv_data,\n",
- " mutation_data=mutation_data,\n",
- " candidate_models=tp53_lof_models,\n",
- " search_mode=\"lof\",\n",
- " n_iterations=128,\n",
- " eval_function=genome_proximity_bias_score,\n",
- " eval_kwargs={\"n_samples\": 500, \"n_trials\": 200, \"return_samples\": False},\n",
- " n_workers=16,\n",
- " fixed_cell_line_sampling=True,\n",
- ")\n",
- "select_lof_tp53_lof.to_csv(\"outputs/select_lof_results_tp53_lof.csv\")\n",
- "\n",
- "select_amp_tp53_lof = compute_monte_carlo_stats(\n",
- " genes_of_interest=select_genes,\n",
- " dependency_data=crispr_effect,\n",
- " cnv_data=cnv_data,\n",
- " mutation_data=mutation_data,\n",
- " candidate_models=tp53_lof_models,\n",
- " search_mode=\"amp\",\n",
- " n_iterations=128,\n",
- " eval_function=genome_proximity_bias_score,\n",
- " eval_kwargs={\"n_samples\": 500, \"n_trials\": 200, \"return_samples\": False},\n",
- " n_workers=16,\n",
- " fixed_cell_line_sampling=True,\n",
- ")\n",
- "select_amp_tp53_lof.to_csv(\"outputs/select_amp_results_tp53_lof.csv\")\n",
- "\n",
- "select_amp_filtered_tp53_lof = compute_monte_carlo_stats(\n",
- " genes_of_interest=select_genes,\n",
- " dependency_data=crispr_effect,\n",
- " cnv_data=cnv_data,\n",
- " mutation_data=mutation_data,\n",
- " candidate_models=tp53_lof_models,\n",
- " search_mode=\"amp\",\n",
- " n_iterations=128,\n",
- " eval_function=genome_proximity_bias_score,\n",
- " eval_kwargs={\"n_samples\": 500, \"n_trials\": 200, \"return_samples\": False},\n",
- " n_workers=16,\n",
- " fixed_cell_line_sampling=True,\n",
- " filter_amp=True,\n",
- ")\n",
- "select_amp_filtered_tp53_lof.to_csv(\"outputs/select_amp_filtered_results_tp53_lof.csv\")\n",
- "\n",
- "# top on TP53 WT\n",
- "\n",
- "select_lof_tp53_wt = compute_monte_carlo_stats(\n",
- " genes_of_interest=select_genes,\n",
- " dependency_data=crispr_effect,\n",
- " cnv_data=cnv_data,\n",
- " mutation_data=mutation_data,\n",
- " candidate_models=tp53_wt_models,\n",
- " search_mode=\"lof\",\n",
- " n_iterations=128,\n",
- " eval_function=genome_proximity_bias_score,\n",
- " eval_kwargs={\"n_samples\": 500, \"n_trials\": 200, \"return_samples\": False},\n",
- " n_workers=16,\n",
- " fixed_cell_line_sampling=True,\n",
- ")\n",
- "select_lof_tp53_wt.to_csv(\"outputs/select_lof_results_tp53_wt.csv\")\n",
- "\n",
- "select_amp_tp53_wt = compute_monte_carlo_stats(\n",
- " genes_of_interest=select_genes,\n",
- " dependency_data=crispr_effect,\n",
- " cnv_data=cnv_data,\n",
- " mutation_data=mutation_data,\n",
- " candidate_models=tp53_wt_models,\n",
- " search_mode=\"amp\",\n",
- " n_iterations=128,\n",
- " eval_function=genome_proximity_bias_score,\n",
- " eval_kwargs={\"n_samples\": 500, \"n_trials\": 200, \"return_samples\": False},\n",
- " n_workers=16,\n",
- " fixed_cell_line_sampling=True,\n",
- ")\n",
- "select_amp_tp53_wt.to_csv(\"outputs/select_amp_results_tp53_wt.csv\")\n",
- "\n",
- "select_amp_filtered_tp53_wt = compute_monte_carlo_stats(\n",
- " genes_of_interest=select_genes,\n",
- " dependency_data=crispr_effect,\n",
- " cnv_data=cnv_data,\n",
- " mutation_data=mutation_data,\n",
- " candidate_models=tp53_wt_models,\n",
- " search_mode=\"amp\",\n",
- " n_iterations=128,\n",
- " eval_function=genome_proximity_bias_score,\n",
- " eval_kwargs={\"n_samples\": 500, \"n_trials\": 200, \"return_samples\": False},\n",
- " n_workers=16,\n",
- " fixed_cell_line_sampling=True,\n",
- " filter_amp=True,\n",
- ")\n",
- "select_amp_filtered_tp53_wt.to_csv(\"outputs/select_amp_filtered_results_tp53_wt.csv\")\n",
- "select_lof_tp53_wt = pd.read_csv(\"outputs/select_lof_results_tp53_wt.csv\", index_col=0)\n",
- "select_amp_filtered_tp53_wt = pd.read_csv(\"outputs/select_amp_results_tp53_wt.csv\", index_col=0)\n",
- "select_lof_tp53_wt[\"abs_diff\"] = select_lof_tp53_wt[\"diff\"].abs()\n",
- "select_amp_filtered_tp53_wt[\"abs_diff\"] = select_amp_filtered_tp53_wt[\"diff\"].abs()\n",
- "select_lof_tp53_wt[\"tp53\"] = \"wt\"\n",
- "select_amp_filtered_tp53_wt[\"tp53\"] = \"wt\"\n",
- "\n",
- "select_lof_tp53_lof = pd.read_csv(\"outputs/select_lof_results_tp53_lof.csv\", index_col=0)\n",
- "select_amp_filtered_tp53_lof = pd.read_csv(\"outputs/select_amp_results_tp53_lof.csv\", index_col=0)\n",
- "select_lof_tp53_lof[\"abs_diff\"] = select_lof_tp53_lof[\"diff\"].abs()\n",
- "select_amp_filtered_tp53_lof[\"abs_diff\"] = select_amp_filtered_tp53_lof[\"diff\"].abs()\n",
- "select_lof_tp53_lof[\"tp53\"] = \"lof\"\n",
- "select_amp_filtered_tp53_lof[\"tp53\"] = \"lof\"\n",
- "select = pd.concat(\n",
- " [select_lof_tp53_wt, select_amp_filtered_tp53_wt, select_lof_tp53_lof, select_amp_filtered_tp53_lof], axis=0\n",
- ")\n",
- "select.sort_index()[[\"tp53\", \"search_mode\", \"diff\", \"wt_mean\", \"test_mean\", \"n_sample_bootstrap\"]]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "select = pd.concat(\n",
- " [select_lof_tp53_wt, select_amp_filtered_tp53_wt, select_lof_tp53_lof, select_amp_filtered_tp53_lof], axis=0\n",
- ")\n",
- "select.sort_index()[[\"tp53\", \"search_mode\", \"diff\", \"wt_mean\", \"test_mean\", \"n_sample_bootstrap\"]]\n",
- "select.sort_index().to_csv(\"outputs/select_genes.csv\")"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "select = pd.read_csv(\"outputs/select_genes.csv\", index_col=0)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "select = pd.concat(\n",
- " [select_lof_tp53_wt, select_amp_filtered_tp53_wt, select_lof_tp53_lof, select_amp_filtered_tp53_lof], axis=0\n",
- ")\n",
- "select.sort_index()[[\"tp53\", \"search_mode\", \"diff\", \"wt_mean\", \"test_mean\", \"n_sample_bootstrap\"]]\n",
- "select[\"wt_stats\"] = select[\"wt_stats\"].apply(lambda x: eval(x))\n",
- "select[\"test_stats\"] = select[\"test_stats\"].apply(lambda x: eval(x))\n",
- "select_2 = select.explode(column=[\"wt_stats\", \"test_stats\"])"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "select_2.index.name = \"gene\"\n",
- "select_2 = select_2.reset_index()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "select_2[\"wt_stats\"] = select_2[\"wt_stats\"].astype(float)\n",
- "select_2[\"test_stats\"] = select_2[\"test_stats\"].astype(float)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "import seaborn as sns\n",
- "\n",
- "sns.set(rc={\"figure.figsize\": (40, 10)})\n",
- "\n",
- "sns.set_style(\"whitegrid\")\n",
- "sns.violinplot(data=select_2, x=\"gene\", y=\"test_stats\", hue=\"tp53\", split=True, inner=\"quartile\")\n",
- "sns.violinplot(data=select_2, x=\"gene\", y=\"wt_stats\", hue=\"tp53\", split=True, inner=\"quartile\")"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# weird genes\n",
- "\n",
- "weird_genes = [\"HLA-C\"]\n",
- "\n",
- "weird_lof_tp53_lof = compute_monte_carlo_stats(\n",
- " genes_of_interest=weird_genes,\n",
- " dependency_data=crispr_effect,\n",
- " cnv_data=cnv_data,\n",
- " mutation_data=mutation_data,\n",
- " candidate_models=tp53_lof_models,\n",
- " search_mode=\"lof\",\n",
- " n_iterations=128,\n",
- " eval_function=genome_proximity_bias_score,\n",
- " eval_kwargs={\"n_samples\": 500, \"n_trials\": 200, \"return_samples\": False},\n",
- " n_workers=1,\n",
- " fixed_cell_line_sampling=True,\n",
- ")\n",
- "weird_lof_tp53_lof.to_csv(\"outputs/weird_lof_results_tp53_lof.csv\")\n",
- "\n",
- "weird_amp_filtered_tp53_lof = compute_monte_carlo_stats(\n",
- " genes_of_interest=weird_genes,\n",
- " dependency_data=crispr_effect,\n",
- " cnv_data=cnv_data,\n",
- " mutation_data=mutation_data,\n",
- " candidate_models=tp53_lof_models,\n",
- " search_mode=\"amp\",\n",
- " n_iterations=128,\n",
- " eval_function=genome_proximity_bias_score,\n",
- " eval_kwargs={\"n_samples\": 500, \"n_trials\": 200, \"return_samples\": False},\n",
- " n_workers=1,\n",
- " fixed_cell_line_sampling=True,\n",
- " filter_amp=True,\n",
- ")\n",
- "weird_amp_filtered_tp53_lof.to_csv(\"outputs/weird_amp_filtered_results_tp53_lof.csv\")\n",
- "\n",
- "# top on TP53 WT\n",
- "\n",
- "weird_lof_tp53_wt = compute_monte_carlo_stats(\n",
- " genes_of_interest=weird_genes,\n",
- " dependency_data=crispr_effect,\n",
- " cnv_data=cnv_data,\n",
- " mutation_data=mutation_data,\n",
- " candidate_models=tp53_wt_models,\n",
- " search_mode=\"lof\",\n",
- " n_iterations=128,\n",
- " eval_function=genome_proximity_bias_score,\n",
- " eval_kwargs={\"n_samples\": 500, \"n_trials\": 200, \"return_samples\": False},\n",
- " n_workers=1,\n",
- " fixed_cell_line_sampling=True,\n",
- ")\n",
- "weird_lof_tp53_wt.to_csv(\"outputs/weird_lof_results_tp53_wt.csv\")\n",
- "\n",
- "weird_amp_filtered_tp53_wt = compute_monte_carlo_stats(\n",
- " genes_of_interest=weird_genes,\n",
- " dependency_data=crispr_effect,\n",
- " cnv_data=cnv_data,\n",
- " mutation_data=mutation_data,\n",
- " candidate_models=tp53_wt_models,\n",
- " search_mode=\"amp\",\n",
- " n_iterations=128,\n",
- " eval_function=genome_proximity_bias_score,\n",
- " eval_kwargs={\"n_samples\": 500, \"n_trials\": 200, \"return_samples\": False},\n",
- " n_workers=1,\n",
- " fixed_cell_line_sampling=True,\n",
- " filter_amp=True,\n",
- ")\n",
- "weird_amp_filtered_tp53_wt.to_csv(\"outputs/weird_amp_filtered_results_tp53_wt.csv\")\n",
- "\n",
- "weird_lof_tp53_wt = pd.read_csv(\"outputs/weird_lof_results_tp53_wt.csv\", index_col=0)\n",
- "weird_amp_filtered_tp53_wt = pd.read_csv(\"outputs/weird_amp_results_tp53_wt.csv\", index_col=0)\n",
- "weird_lof_tp53_wt[\"abs_diff\"] = weird_lof_tp53_wt[\"diff\"].abs()\n",
- "weird_amp_filtered_tp53_wt[\"abs_diff\"] = weird_amp_filtered_tp53_wt[\"diff\"].abs()\n",
- "weird_lof_tp53_wt[\"tp53\"] = \"wt\"\n",
- "weird_amp_filtered_tp53_wt[\"tp53\"] = \"wt\"\n",
- "\n",
- "weird_lof_tp53_lof = pd.read_csv(\"outputs/weird_lof_results_tp53_lof.csv\", index_col=0)\n",
- "weird_amp_filtered_tp53_lof = pd.read_csv(\"outputs/weird_amp_results_tp53_lof.csv\", index_col=0)\n",
- "weird_lof_tp53_lof[\"abs_diff\"] = weird_lof_tp53_lof[\"diff\"].abs()\n",
- "weird_amp_filtered_tp53_lof[\"abs_diff\"] = weird_amp_filtered_tp53_lof[\"diff\"].abs()\n",
- "weird_lof_tp53_lof[\"tp53\"] = \"lof\"\n",
- "weird_amp_filtered_tp53_lof[\"tp53\"] = \"lof\"\n",
- "weird = pd.concat(\n",
- " [weird_lof_tp53_wt, weird_amp_filtered_tp53_wt, weird_lof_tp53_lof, weird_amp_filtered_tp53_lof], axis=0\n",
- ")\n",
- "weird.sort_index()[[\"tp53\", \"search_mode\", \"diff\", \"wt_mean\", \"test_mean\", \"n_sample_bootstrap\"]]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
- }
- ],
- "metadata": {
- "kernelspec": {
- "display_name": "venv",
- "language": "python",
- "name": "python3"
- },
- "language_info": {
- "codemirror_mode": {
- "name": "ipython",
- "version": 3
- },
- "file_extension": ".py",
- "mimetype": "text/x-python",
- "name": "python",
- "nbconvert_exporter": "python",
- "pygments_lexer": "ipython3",
- "version": "3.9.13"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/proxbias/notebooks/DepMap_PB_Drivers.ipynb b/proxbias/notebooks/DepMap_PB_Drivers.ipynb
index e328756..f4c62eb 100644
--- a/proxbias/notebooks/DepMap_PB_Drivers.ipynb
+++ b/proxbias/notebooks/DepMap_PB_Drivers.ipynb
@@ -2,7 +2,7 @@
"cells": [
{
"cell_type": "code",
- "execution_count": 1,
+ "execution_count": 3,
"id": "10f4e099",
"metadata": {},
"outputs": [
@@ -25,10 +25,19 @@
"import pandas as pd\n",
"import pickle\n",
"\n",
+ "import sys\n",
"import matplotlib.pyplot as plt\n",
"import sklearn\n",
"from sklearn.utils import Bunch\n",
"\n",
+ "# Importing locally here, but the prox bias and efaar_benchmarking packages are available through Nexus\n",
+ "module_path = os.path.abspath(os.path.join(\"../../../proxbias\"))\n",
+ "if module_path not in sys.path:\n",
+ " sys.path.insert(0, module_path)\n",
+ "module_path = os.path.abspath(os.path.join(\"../../../EFAAR_benchmarking\"))\n",
+ "if module_path not in sys.path:\n",
+ " sys.path.insert(0, module_path)\n",
+ "\n",
"from proxbias import utils as utils\n",
"import proxbias as pb\n",
"\n",
@@ -51,7 +60,7 @@
},
{
"cell_type": "code",
- "execution_count": 2,
+ "execution_count": 4,
"id": "697bbc78",
"metadata": {},
"outputs": [],
@@ -112,17 +121,15 @@
},
{
"cell_type": "code",
- "execution_count": 3,
+ "execution_count": 5,
"id": "9d234d2a",
- "metadata": {
- "scrolled": true
- },
+ "metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
- "/tmp/ipykernel_2379062/2677559415.py:7: DtypeWarning: Columns (32,40,48,49,50,51,53) have mixed types. Specify dtype option on import or set low_memory=False.\n",
+ "/tmp/ipykernel_1726471/2677559415.py:7: DtypeWarning: Columns (32,40,48,49,50,51,53) have mixed types. Specify dtype option on import or set low_memory=False.\n",
" mutation_data = pd.read_csv(os.path.join(data_dir, mutation_file)).rename(columns={\"DepMap_ID\": \"ModelID\"})\n"
]
}
@@ -139,7 +146,7 @@
},
{
"cell_type": "code",
- "execution_count": 4,
+ "execution_count": 6,
"id": "7c62303e",
"metadata": {},
"outputs": [
@@ -166,7 +173,7 @@
},
{
"cell_type": "code",
- "execution_count": 5,
+ "execution_count": 7,
"id": "e28aa9ee",
"metadata": {},
"outputs": [
@@ -316,7 +323,7 @@
"[2 rows x 1078 columns]"
]
},
- "execution_count": 5,
+ "execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
@@ -336,7 +343,7 @@
},
{
"cell_type": "code",
- "execution_count": 6,
+ "execution_count": 8,
"id": "4bc29601",
"metadata": {},
"outputs": [],
@@ -354,7 +361,7 @@
},
{
"cell_type": "code",
- "execution_count": 7,
+ "execution_count": 9,
"id": "3b803b3c",
"metadata": {},
"outputs": [],
@@ -365,7 +372,7 @@
},
{
"cell_type": "code",
- "execution_count": 8,
+ "execution_count": 10,
"id": "7f89e122",
"metadata": {},
"outputs": [
@@ -402,7 +409,7 @@
},
{
"cell_type": "code",
- "execution_count": 9,
+ "execution_count": 11,
"id": "02338dd5",
"metadata": {},
"outputs": [
@@ -598,7 +605,7 @@
"[2 rows x 1078 columns]"
]
},
- "execution_count": 9,
+ "execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
@@ -617,7 +624,7 @@
},
{
"cell_type": "code",
- "execution_count": 10,
+ "execution_count": 12,
"id": "bcacdc4a",
"metadata": {},
"outputs": [],
@@ -629,7 +636,7 @@
},
{
"cell_type": "code",
- "execution_count": 11,
+ "execution_count": 13,
"id": "67fcfdaf",
"metadata": {},
"outputs": [
@@ -652,6 +659,75 @@
"print(\"TP53 WT:\", len(tp53_wt_models))"
]
},
+ {
+ "cell_type": "code",
+ "execution_count": 17,
+ "id": "af572854-f0c0-4933-9a68-b7aff1be3de8",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "pd.Series(tp53_wt_models).to_csv(\"tp53_wt_models.csv\")\n",
+ "pd.Series(tp53_lof_models).to_csv(\"tp53_lof_models.csv\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 25,
+ "id": "cc3b4aed-6529-4c5b-b736-c619c0a40677",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "count 245.000000\n",
+ "mean 0.987621\n",
+ "std 0.055647\n",
+ "min 0.810170\n",
+ "25% 0.962362\n",
+ "50% 0.993876\n",
+ "75% 1.021891\n",
+ "max 1.085741\n",
+ "Name: TP53, dtype: float64"
+ ]
+ },
+ "execution_count": 25,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "cnv_data.loc[\"TP53\", tp53_wt_models].describe()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 26,
+ "id": "e66d9e3f-30ad-41c0-8207-b2ccfde8c4a1",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "count 277.000000\n",
+ "mean 0.678357\n",
+ "std 0.118996\n",
+ "min 0.018640\n",
+ "25% 0.623248\n",
+ "50% 0.709266\n",
+ "75% 0.759778\n",
+ "max 0.806768\n",
+ "Name: TP53, dtype: float64"
+ ]
+ },
+ "execution_count": 26,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "cnv_data.loc[\"TP53\", tp53_lof_models].describe()"
+ ]
+ },
{
"cell_type": "code",
"execution_count": 12,
@@ -947,9 +1023,7 @@
"cell_type": "code",
"execution_count": 24,
"id": "5073f4be",
- "metadata": {
- "scrolled": false
- },
+ "metadata": {},
"outputs": [
{
"name": "stdout",
@@ -1043,9 +1117,9 @@
],
"metadata": {
"kernelspec": {
- "display_name": "Python 3 (ipykernel)",
+ "display_name": "tatooine",
"language": "python",
- "name": "python3"
+ "name": "tatooine"
},
"language_info": {
"codemirror_mode": {
diff --git a/proxbias/notebooks/DepMap_version_comparisons.ipynb b/proxbias/notebooks/DepMap_version_comparisons.ipynb
new file mode 100644
index 0000000..0aef56c
--- /dev/null
+++ b/proxbias/notebooks/DepMap_version_comparisons.ipynb
@@ -0,0 +1,1395 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "id": "54813d96-7b02-46be-9b39-fa9b68ec384d",
+ "metadata": {},
+ "source": [
+ "# Purpose\n",
+ "\n",
+ "This notebook show differences amongst 3 versions of DepMap dependency data which were used in the publication.\n",
+ "\n",
+ "- 19Q3 was used because it powers the ShinyDepMap gene-gene relationship app which is a commonly used resource and explored for Supplementary Fig. 3c,d.\n",
+ "- 22Q4 was used because it has more cell lines and an updated processing pipeline including a correction for copy-number dependencies (Amici et al. 2020).\n",
+ "- 23Q2 was released after we posted a preprint of this manuscript and introduced a correction very similar to our methods. We show results from that dataset as an analogue to our correction applied to the imaging data.\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "id": "b4362eb5",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "/mnt/ps/home/CORP/nathan.lazar/.pyenv/versions/tatooine/lib/python3.9/site-packages/statsmodels/compat/pandas.py:65: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
+ " from pandas import Int64Index as NumericIndex\n"
+ ]
+ },
+ {
+ "data": {
+ "text/html": [
+ ""
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "import os\n",
+ "import sys\n",
+ "import numpy as np\n",
+ "import pandas as pd\n",
+ "import pickle\n",
+ "\n",
+ "import matplotlib.pyplot as plt\n",
+ "import seaborn as sns\n",
+ "import sklearn\n",
+ "from sklearn.utils import Bunch\n",
+ "\n",
+ "# Importing locally here, but the prox bias and efaar_benchmarking packages are available through Nexus\n",
+ "module_path = os.path.abspath(os.path.join(\"../../../proxbias\"))\n",
+ "if module_path not in sys.path:\n",
+ " sys.path.insert(0, module_path)\n",
+ "module_path = os.path.abspath(os.path.join(\"../../../EFAAR_benchmarking\"))\n",
+ "if module_path not in sys.path:\n",
+ " sys.path.insert(0, module_path)\n",
+ "\n",
+ "from proxbias import utils\n",
+ "from proxbias.utils.df_tools import harmonize_data, make_pairwise_cos, make_split_cosmat\n",
+ "from proxbias.utils.q_norm import q_norm\n",
+ "from proxbias.plotting.heatmaps import plot_heatmap\n",
+ "from proxbias.metrics import bm_metrics\n",
+ "from proxbias.plotting.bm_bars import plot_bm_arm_bars, plot_bm_bar_pairs\n",
+ "\n",
+ "# This is necesary for the svg output plots to have editable text\n",
+ "plt.rcParams[\"svg.fonttype\"] = \"none\"\n",
+ "\n",
+ "# Just to make the notebook take up full screen real estate, not necessary\n",
+ "from IPython.display import display, HTML\n",
+ "\n",
+ "display(HTML(\"\"))"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "38c8363c",
+ "metadata": {},
+ "source": [
+ "# Load in DepMap dependency data for 19q3, 22q4 and 23q2\n",
+ "\n",
+ "Files were downloaded from [here](https://depmap.org/portal/download/all/) for 19Q3, 22Q4 and 23Q2 datasets and moved into the `data/depmap19q3`, `data/depmap22q4/` and `data/depmap23q2/` directories.\n",
+ "\n",
+ "You can also use the `get_depmap_data` function in `proxbias.depmap.load` for 22Q4 and 23Q2, but 19Q3 has a different file name (`Achilles_gene_effect.csv` instead of `CRISPRGeneEffect.csv`) and the function doesn't handle that right now. "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "id": "5c5cebad",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "19q3\n",
+ "(18333, 625)\n",
+ "734 genes are missing dependency data, we drop them.\n",
+ "22q4\n",
+ "(17453, 1078)\n",
+ "0 genes are missing dependency data, we drop them.\n",
+ "23q2\n",
+ "(17931, 1095)\n",
+ "729 genes are missing dependency data, we drop them.\n"
+ ]
+ }
+ ],
+ "source": [
+ "files = {\n",
+ " \"19q3\": \"depmap19q3/Achilles_gene_effect.csv\",\n",
+ " \"22q4\": \"depmap22q4/CRISPRGeneEffect.csv\",\n",
+ " \"23q2\": \"depmap23q2/CRISPRGeneEffect.csv\",\n",
+ "}\n",
+ "\n",
+ "depmap_data = {}\n",
+ "depmap_cleaned = {}\n",
+ "for dataset in [\"19q3\", \"22q4\", \"23q2\"]:\n",
+ " print(dataset)\n",
+ " data_dir = \"../data\"\n",
+ " dependency_data = pd.read_csv(os.path.join(data_dir, files[dataset]), index_col=0).T\n",
+ " dependency_data.index = [g.split(\" \")[0] for g in dependency_data.index] # remove entrez gene ids\n",
+ " dependency_data.index.name = \"gene\"\n",
+ " print(dependency_data.shape)\n",
+ " depmap_data[dataset] = dependency_data\n",
+ "\n",
+ " ## Cleanup: Drop genes that don't have dependency data for all cell lines.\n",
+ " n_cl_missing = dependency_data.isna().sum(axis=1)\n",
+ " print(f\"{(n_cl_missing!=0).sum()} genes are missing dependency data, we drop them.\")\n",
+ " depmap_cleaned[dataset] = dependency_data.loc[n_cl_missing == 0, :]"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "56b80924",
+ "metadata": {},
+ "source": [
+ "## Distribution of dependency scores"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "id": "f8862ad0",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
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\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "for dataset in [\"19q3\", \"22q4\", \"23q2\"]:\n",
+ " plt.figure()\n",
+ " plt.title(dataset)\n",
+ " sns.histplot(np.random.choice(depmap_cleaned[dataset].values.flatten(), 10000));"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "ce3d21f8",
+ "metadata": {},
+ "source": [
+ "### Center data"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "id": "85fdf495",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "depmap_centered = {}\n",
+ "for dataset in [\"19q3\", \"22q4\", \"23q2\"]:\n",
+ " depmap_centered[dataset] = depmap_cleaned[dataset].sub(depmap_cleaned[dataset].mean(axis=1), axis=0)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "d6eee5e6",
+ "metadata": {},
+ "source": [
+ "## Distribution of dependency scores after centering per gene."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "id": "0689b766",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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\n",
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+ ""
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+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
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\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "for dataset in [\"19q3\", \"22q4\", \"23q2\"]:\n",
+ " plt.figure()\n",
+ " plt.title(dataset)\n",
+ " sns.histplot(np.random.choice(depmap_centered[dataset].values.flatten(), 10000));"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "22930312",
+ "metadata": {},
+ "source": [
+ "# Add in chromosome positions\n",
+ "Drop genes without annotations"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "id": "305f10e2",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "19q3\n",
+ "Full data has 17599 genes, 17192 of which are in annotations\n",
+ "22q4\n",
+ "Full data has 17453 genes, 17396 of which are in annotations\n",
+ "23q2\n",
+ "Full data has 17202 genes, 17147 of which are in annotations\n"
+ ]
+ }
+ ],
+ "source": [
+ "gene_dict, chrom_dict, band_dict = utils.chromosome_info.get_chromosome_info_as_dicts()\n",
+ "genes = list(gene_dict.keys())\n",
+ "\n",
+ "depmap = {}\n",
+ "for dataset in [\"19q3\", \"22q4\", \"23q2\"]:\n",
+ " print(dataset)\n",
+ "\n",
+ " # Subset to genes with chrom information from hg38\n",
+ " idx = depmap_centered[dataset].query(f\"gene.isin({genes})\").index\n",
+ " print(f\"Full data has {depmap_centered[dataset].shape[0]} genes, {len(idx)} of which are in annotations\")\n",
+ " depmap[dataset] = depmap_centered[dataset].loc[idx]\n",
+ "\n",
+ " # Add in chromomsome information\n",
+ " def _add_chr_info(df, gene_dict, in_nm, out_nm):\n",
+ " df[out_nm] = (\n",
+ " depmap[dataset].index.to_frame().gene.apply(lambda x: gene_dict[x][in_nm] if x in gene_dict else \"no_info\")\n",
+ " )\n",
+ " return df\n",
+ "\n",
+ " old_cols = depmap[dataset].columns.tolist()\n",
+ " depmap[dataset] = _add_chr_info(depmap[dataset], gene_dict, \"chrom\", \"chromosome\")\n",
+ " depmap[dataset] = _add_chr_info(depmap[dataset], gene_dict, \"chrom_int\", \"chr_idx\")\n",
+ " depmap[dataset] = _add_chr_info(depmap[dataset], gene_dict, \"arm\", \"chromosome_arm\")\n",
+ " depmap[dataset] = _add_chr_info(depmap[dataset], gene_dict, \"start\", \"gene_bp\")\n",
+ "\n",
+ " cols = [\"gene\", \"chromosome\", \"chr_idx\", \"chromosome_arm\", \"gene_bp\"]\n",
+ " depmap[dataset] = depmap[dataset].reset_index().set_index(cols).sort_values([\"chr_idx\", \"gene_bp\"])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "id": "c16dc843",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " ACH-000004 | \n",
+ " ACH-000005 | \n",
+ " ACH-000007 | \n",
+ " ACH-000009 | \n",
+ " ACH-000011 | \n",
+ " ACH-000012 | \n",
+ " ACH-000013 | \n",
+ " ACH-000014 | \n",
+ " ACH-000015 | \n",
+ " ACH-000017 | \n",
+ " ... | \n",
+ " ACH-001736 | \n",
+ " ACH-001737 | \n",
+ " ACH-001740 | \n",
+ " ACH-001745 | \n",
+ " ACH-001750 | \n",
+ " ACH-001765 | \n",
+ " ACH-001814 | \n",
+ " ACH-001838 | \n",
+ " ACH-001956 | \n",
+ " ACH-001957 | \n",
+ "
\n",
+ " \n",
+ " | gene | \n",
+ " chromosome | \n",
+ " chr_idx | \n",
+ " chromosome_arm | \n",
+ " gene_bp | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " | OR4F5 | \n",
+ " chr1 | \n",
+ " 1 | \n",
+ " chr1p | \n",
+ " 65418 | \n",
+ " 0.068017 | \n",
+ " 0.092175 | \n",
+ " 0.204709 | \n",
+ " -0.067036 | \n",
+ " -0.042096 | \n",
+ " 0.044669 | \n",
+ " 0.041300 | \n",
+ " 0.117099 | \n",
+ " 0.074322 | \n",
+ " -0.009673 | \n",
+ " ... | \n",
+ " 0.074023 | \n",
+ " 0.466297 | \n",
+ " -0.144796 | \n",
+ " -0.012623 | \n",
+ " -0.066856 | \n",
+ " 0.044151 | \n",
+ " 0.100245 | \n",
+ " -0.118192 | \n",
+ " -0.174867 | \n",
+ " 0.008171 | \n",
+ "
\n",
+ " \n",
+ " | OR4F29 | \n",
+ " chr1 | \n",
+ " 1 | \n",
+ " chr1p | \n",
+ " 450739 | \n",
+ " 0.045194 | \n",
+ " 0.152855 | \n",
+ " 0.094469 | \n",
+ " -0.019420 | \n",
+ " -0.268919 | \n",
+ " -0.123328 | \n",
+ " 0.056884 | \n",
+ " 0.014744 | \n",
+ " 0.097887 | \n",
+ " -0.276503 | \n",
+ " ... | \n",
+ " -0.164333 | \n",
+ " -0.049935 | \n",
+ " -0.251974 | \n",
+ " 0.014691 | \n",
+ " -0.101502 | \n",
+ " 0.138910 | \n",
+ " -0.371399 | \n",
+ " 0.023600 | \n",
+ " -0.015659 | \n",
+ " -0.012484 | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
2 rows × 625 columns
\n",
+ "
\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " ACH-000004 | \n",
+ " ACH-000005 | \n",
+ " ACH-000007 | \n",
+ " ACH-000009 | \n",
+ " ACH-000011 | \n",
+ " ACH-000012 | \n",
+ " ACH-000013 | \n",
+ " ACH-000014 | \n",
+ " ACH-000015 | \n",
+ " ACH-000017 | \n",
+ " ... | \n",
+ " ACH-002283 | \n",
+ " ACH-002284 | \n",
+ " ACH-002285 | \n",
+ " ACH-002294 | \n",
+ " ACH-002295 | \n",
+ " ACH-002296 | \n",
+ " ACH-002297 | \n",
+ " ACH-002298 | \n",
+ " ACH-002304 | \n",
+ " ACH-002305 | \n",
+ "
\n",
+ " \n",
+ " | gene | \n",
+ " chromosome | \n",
+ " chr_idx | \n",
+ " chromosome_arm | \n",
+ " gene_bp | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " | SAMD11 | \n",
+ " chr1 | \n",
+ " 1 | \n",
+ " chr1p | \n",
+ " 923922 | \n",
+ " 0.138971 | \n",
+ " -0.024604 | \n",
+ " 0.164436 | \n",
+ " -0.135659 | \n",
+ " 0.181989 | \n",
+ " -0.007635 | \n",
+ " 0.050045 | \n",
+ " -0.001966 | \n",
+ " 0.05847 | \n",
+ " -0.058567 | \n",
+ " ... | \n",
+ " 0.132243 | \n",
+ " -0.130717 | \n",
+ " -0.148272 | \n",
+ " 0.133393 | \n",
+ " -0.030585 | \n",
+ " 0.042350 | \n",
+ " 0.046475 | \n",
+ " 0.086503 | \n",
+ " -0.05088 | \n",
+ " 0.187428 | \n",
+ "
\n",
+ " \n",
+ " | NOC2L | \n",
+ " chr1 | \n",
+ " 1 | \n",
+ " chr1p | \n",
+ " 944202 | \n",
+ " -0.337622 | \n",
+ " 0.298930 | \n",
+ " -0.277252 | \n",
+ " -0.199345 | \n",
+ " 0.045464 | \n",
+ " -0.445447 | \n",
+ " 0.153700 | \n",
+ " -0.053124 | \n",
+ " 0.14612 | \n",
+ " -0.107405 | \n",
+ " ... | \n",
+ " -0.033149 | \n",
+ " -0.023406 | \n",
+ " -0.285678 | \n",
+ " 0.009905 | \n",
+ " -0.110960 | \n",
+ " -0.309166 | \n",
+ " -0.058206 | \n",
+ " -0.188165 | \n",
+ " -0.59778 | \n",
+ " 0.065761 | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
2 rows × 1078 columns
\n",
+ "
\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " ModelID | \n",
+ " ACH-000001 | \n",
+ " ACH-000004 | \n",
+ " ACH-000005 | \n",
+ " ACH-000007 | \n",
+ " ACH-000009 | \n",
+ " ACH-000011 | \n",
+ " ACH-000012 | \n",
+ " ACH-000013 | \n",
+ " ACH-000014 | \n",
+ " ACH-000015 | \n",
+ " ... | \n",
+ " ACH-002687 | \n",
+ " ACH-002693 | \n",
+ " ACH-002710 | \n",
+ " ACH-002785 | \n",
+ " ACH-002799 | \n",
+ " ACH-002800 | \n",
+ " ACH-002834 | \n",
+ " ACH-002847 | \n",
+ " ACH-002922 | \n",
+ " ACH-002926 | \n",
+ "
\n",
+ " \n",
+ " | gene | \n",
+ " chromosome | \n",
+ " chr_idx | \n",
+ " chromosome_arm | \n",
+ " gene_bp | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " | SAMD11 | \n",
+ " chr1 | \n",
+ " 1 | \n",
+ " chr1p | \n",
+ " 923922 | \n",
+ " 0.047577 | \n",
+ " 0.10238 | \n",
+ " -0.076463 | \n",
+ " 0.186915 | \n",
+ " -0.158954 | \n",
+ " 0.15448 | \n",
+ " 0.005407 | \n",
+ " 0.098182 | \n",
+ " -0.001502 | \n",
+ " 0.075654 | \n",
+ " ... | \n",
+ " -0.032343 | \n",
+ " 0.116028 | \n",
+ " 0.07740 | \n",
+ " 0.083375 | \n",
+ " -0.032725 | \n",
+ " 0.117811 | \n",
+ " 0.091653 | \n",
+ " 0.095124 | \n",
+ " 0.094808 | \n",
+ " 0.018674 | \n",
+ "
\n",
+ " \n",
+ " | NOC2L | \n",
+ " chr1 | \n",
+ " 1 | \n",
+ " chr1p | \n",
+ " 944202 | \n",
+ " 0.484032 | \n",
+ " -0.24410 | \n",
+ " 0.280216 | \n",
+ " -0.387235 | \n",
+ " -0.119934 | \n",
+ " -0.04632 | \n",
+ " -0.375034 | \n",
+ " 0.129755 | \n",
+ " -0.032229 | \n",
+ " 0.072199 | \n",
+ " ... | \n",
+ " 0.195969 | \n",
+ " 0.111704 | \n",
+ " -0.09102 | \n",
+ " -0.115503 | \n",
+ " 0.149794 | \n",
+ " -0.209500 | \n",
+ " 0.130630 | \n",
+ " -0.202242 | \n",
+ " -0.005151 | \n",
+ " -0.016676 | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
2 rows × 1095 columns
\n",
+ "