notebooks/02_scRNAseq_of_IGSF8.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "562e3088-0492-4825-8ea8-a246483464a5",
   "metadata": {},
   "source": [
    "# Import packages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "51c86234-593e-4eb9-918e-7a06d7d29d0b",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os, re\n",
    "import argparse\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.colors as mcolors\n",
    "import matplotlib\n",
    "\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import OncoMark as oma"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "661e2fd6-8e13-4d3b-abea-ad7a54437a4a",
   "metadata": {},
   "source": [
    "## Plot setting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "7f0702b1-1e60-4ab7-a7c8-08f1008d203b",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2024-04-11 11:33:34|INFO|plotting|Figure setting updated\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1200x900 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "oma.pl.fig_setting()\n",
    "cmap = oma.pl.cmap()\n",
    "sns.set_style(\"ticks\");\n",
    "sns.despine(offset=10, trim=True);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1a63dea2-b05c-448e-a73b-25a13bf170f6",
   "metadata": {},
   "source": [
    "# Read the processed TISCH2 data of psudo bulkRNAseq expression and cell fraction"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "dfd6ff43-1f24-41fb-a45e-59c0103f3b0f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>genes</th>\n",
       "      <th>Celltype (major-lineage)</th>\n",
       "      <th>cell_fraction</th>\n",
       "      <th>expression_level</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>IGSF8</td>\n",
       "      <td>AC-like Malignant</td>\n",
       "      <td>0.202290</td>\n",
       "      <td>1.327778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>IGSF8</td>\n",
       "      <td>Acinar</td>\n",
       "      <td>0.123352</td>\n",
       "      <td>0.747123</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>IGSF8</td>\n",
       "      <td>Alveolar</td>\n",
       "      <td>0.187335</td>\n",
       "      <td>1.084546</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>IGSF8</td>\n",
       "      <td>Amacrine cell</td>\n",
       "      <td>0.073885</td>\n",
       "      <td>0.522065</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>IGSF8</td>\n",
       "      <td>Astrocyte</td>\n",
       "      <td>0.332233</td>\n",
       "      <td>2.036075</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>KIR3DL2</td>\n",
       "      <td>Tproilf</td>\n",
       "      <td>0.015257</td>\n",
       "      <td>0.114937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>KIR3DL2</td>\n",
       "      <td>Tprolif</td>\n",
       "      <td>0.035617</td>\n",
       "      <td>0.281519</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>KIR3DL2</td>\n",
       "      <td>Treg</td>\n",
       "      <td>0.009458</td>\n",
       "      <td>0.073580</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>KIR3DL2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>KIR3DL2</td>\n",
       "      <td>pDC</td>\n",
       "      <td>0.001255</td>\n",
       "      <td>0.009551</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>146 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       genes Celltype (major-lineage)  cell_fraction  expression_level\n",
       "0      IGSF8        AC-like Malignant       0.202290          1.327778\n",
       "1      IGSF8                   Acinar       0.123352          0.747123\n",
       "2      IGSF8                 Alveolar       0.187335          1.084546\n",
       "3      IGSF8            Amacrine cell       0.073885          0.522065\n",
       "4      IGSF8                Astrocyte       0.332233          2.036075\n",
       "..       ...                      ...            ...               ...\n",
       "141  KIR3DL2                  Tproilf       0.015257          0.114937\n",
       "142  KIR3DL2                  Tprolif       0.035617          0.281519\n",
       "143  KIR3DL2                     Treg       0.009458          0.073580\n",
       "144  KIR3DL2                      NaN            NaN               NaN\n",
       "145  KIR3DL2                      pDC       0.001255          0.009551\n",
       "\n",
       "[146 rows x 4 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "output_df_subset = pd.read_csv('../OncoMark/data/datasets/TISCH2/Expression_of_IGSF8_and_KIR3DL2_in_TISCH2.csv', index_col=0)\n",
    "output_df_subset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "92af7015-7aab-4023-b607-cb8d5c48b21e",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "xaxis = 'genes'\n",
    "x_order = ['IGSF8', 'KIR3DL2']\n",
    "\n",
    "yaxis = 'Celltype (major-lineage)'\n",
    "y_order = [\"Malignant\", \"CD8T\", \"CD8Tex\", \"Treg\", \"CD4Tconv\", \"NK\", \"B\", \"Plasma\", \"DC\", \"Mono/Macro\"]\n",
    "\n",
    "size_key = 'cell_fraction'\n",
    "color_key = 'expression_level'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "f14f8fc6-3aa8-49b3-9b05-e62eb4652e7c",
   "metadata": {},
   "outputs": [],
   "source": [
    "output_df_subset = output_df_subset[output_df_subset['Celltype (major-lineage)'].isin(y_order)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "71a1a089-dc67-4a3a-96f1-c76ed2824c97",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>genes</th>\n",
       "      <th>Celltype (major-lineage)</th>\n",
       "      <th>cell_fraction</th>\n",
       "      <th>expression_level</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>IGSF8</td>\n",
       "      <td>B</td>\n",
       "      <td>0.087999</td>\n",
       "      <td>0.657880</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>IGSF8</td>\n",
       "      <td>CD4Tconv</td>\n",
       "      <td>0.072466</td>\n",
       "      <td>0.585986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>IGSF8</td>\n",
       "      <td>CD8T</td>\n",
       "      <td>0.079879</td>\n",
       "      <td>0.634379</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>IGSF8</td>\n",
       "      <td>CD8Tex</td>\n",
       "      <td>0.100599</td>\n",
       "      <td>0.783140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>IGSF8</td>\n",
       "      <td>DC</td>\n",
       "      <td>0.130632</td>\n",
       "      <td>0.887569</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>IGSF8</td>\n",
       "      <td>Malignant</td>\n",
       "      <td>0.241321</td>\n",
       "      <td>1.576259</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>IGSF8</td>\n",
       "      <td>Mono/Macro</td>\n",
       "      <td>0.079819</td>\n",
       "      <td>0.541468</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>IGSF8</td>\n",
       "      <td>NK</td>\n",
       "      <td>0.088803</td>\n",
       "      <td>0.706786</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>IGSF8</td>\n",
       "      <td>Plasma</td>\n",
       "      <td>0.174749</td>\n",
       "      <td>1.059765</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>IGSF8</td>\n",
       "      <td>Treg</td>\n",
       "      <td>0.130374</td>\n",
       "      <td>0.970354</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>KIR3DL2</td>\n",
       "      <td>B</td>\n",
       "      <td>0.004144</td>\n",
       "      <td>0.030109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>KIR3DL2</td>\n",
       "      <td>CD4Tconv</td>\n",
       "      <td>0.008372</td>\n",
       "      <td>0.070815</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>KIR3DL2</td>\n",
       "      <td>CD8T</td>\n",
       "      <td>0.022503</td>\n",
       "      <td>0.193442</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>KIR3DL2</td>\n",
       "      <td>CD8Tex</td>\n",
       "      <td>0.033315</td>\n",
       "      <td>0.280830</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>KIR3DL2</td>\n",
       "      <td>DC</td>\n",
       "      <td>0.005293</td>\n",
       "      <td>0.034028</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>KIR3DL2</td>\n",
       "      <td>Malignant</td>\n",
       "      <td>0.004262</td>\n",
       "      <td>0.031655</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>KIR3DL2</td>\n",
       "      <td>Mono/Macro</td>\n",
       "      <td>0.001149</td>\n",
       "      <td>0.007738</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>KIR3DL2</td>\n",
       "      <td>NK</td>\n",
       "      <td>0.080428</td>\n",
       "      <td>0.689552</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>KIR3DL2</td>\n",
       "      <td>Plasma</td>\n",
       "      <td>0.005550</td>\n",
       "      <td>0.039536</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>KIR3DL2</td>\n",
       "      <td>Treg</td>\n",
       "      <td>0.009458</td>\n",
       "      <td>0.073580</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       genes Celltype (major-lineage)  cell_fraction  expression_level\n",
       "5      IGSF8                        B       0.087999          0.657880\n",
       "7      IGSF8                 CD4Tconv       0.072466          0.585986\n",
       "8      IGSF8                     CD8T       0.079879          0.634379\n",
       "9      IGSF8                   CD8Tex       0.100599          0.783140\n",
       "15     IGSF8                       DC       0.130632          0.887569\n",
       "38     IGSF8                Malignant       0.241321          1.576259\n",
       "43     IGSF8               Mono/Macro       0.079819          0.541468\n",
       "47     IGSF8                       NK       0.088803          0.706786\n",
       "59     IGSF8                   Plasma       0.174749          1.059765\n",
       "70     IGSF8                     Treg       0.130374          0.970354\n",
       "78   KIR3DL2                        B       0.004144          0.030109\n",
       "80   KIR3DL2                 CD4Tconv       0.008372          0.070815\n",
       "81   KIR3DL2                     CD8T       0.022503          0.193442\n",
       "82   KIR3DL2                   CD8Tex       0.033315          0.280830\n",
       "88   KIR3DL2                       DC       0.005293          0.034028\n",
       "111  KIR3DL2                Malignant       0.004262          0.031655\n",
       "116  KIR3DL2               Mono/Macro       0.001149          0.007738\n",
       "120  KIR3DL2                       NK       0.080428          0.689552\n",
       "132  KIR3DL2                   Plasma       0.005550          0.039536\n",
       "143  KIR3DL2                     Treg       0.009458          0.073580"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "output_df_subset"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3e8bef4b-7d1e-43a9-945f-3674d41cd594",
   "metadata": {},
   "source": [
    "## Plotting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "32dfa437-0fb0-402d-b216-3f10d6c91866",
   "metadata": {},
   "outputs": [],
   "source": [
    "def size_legend_dot(input_size_values, dot_max=None, dot_min=None, size_exponent=1.5, largest_dot=80, smallest_dot=0):\n",
    "    # for the dot size legend, use step between dot_max and dot_min\n",
    "    # based on how different they are.\n",
    "    if not dot_max:\n",
    "        dot_max = np.ceil(max(input_size_values) * 20) / 20\n",
    "    if not dot_min:\n",
    "        dot_min = 0\n",
    "    diff = dot_max - dot_min\n",
    "    if 0.3 < diff <= 0.6:\n",
    "        step = 0.1\n",
    "    elif 0.1 < diff <= 0.3:\n",
    "        step = 0.05\n",
    "    elif diff <= 0.1:\n",
    "        step = 0.02\n",
    "    else:\n",
    "        step = 0.2\n",
    "    # a descending range that is afterwards inverted is used\n",
    "    # to guarantee that dot_max is in the legend.\n",
    "    print(\"step: \", step)\n",
    "    size_range = np.arange(dot_max, dot_min, step * -1)[::-1]\n",
    "    if dot_min != 0 or dot_max != 1:\n",
    "        dot_range = dot_max - dot_min\n",
    "        size_values = (size_range - dot_min) / dot_range\n",
    "    else:\n",
    "        size_values = size_range\n",
    "\n",
    "    labels = [f\"{np.round((x * 100), decimals=0).astype(int)}\" for x in size_range]\n",
    "    size = size_values**size_exponent\n",
    "    size = size * (largest_dot - smallest_dot) + smallest_dot\n",
    "    legend_size={}\n",
    "    for l,s in zip(labels, size):\n",
    "        legend_size.update({l:s})\n",
    "        \n",
    "    output_size = ((input_size_values - dot_min) /(dot_max - dot_min)) **size_exponent\n",
    "    output_size = output_size * (largest_dot - smallest_dot) + smallest_dot\n",
    "    \n",
    "    return output_size, legend_size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "94cb8b6c-580a-459d-8157-d5bf1ff51549",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "step:  0.05\n"
     ]
    }
   ],
   "source": [
    "marker = 'o'\n",
    "largest_dot = 100\n",
    "sizes, legend = size_legend_dot(output_df_subset[\"cell_fraction\"].values, largest_dot=largest_dot)\n",
    "\n",
    "x_to_num = {p[1]:p[0] for p in enumerate(x_order[::-1])} \n",
    "y_to_num = {p[1]:p[0] for p in enumerate(y_order)}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "a2279c35-3f87-4a2b-ac39-6055616b65f5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'5': 8.944271909999172,\n",
       " '10': 25.29822128134705,\n",
       " '15': 46.47580015448901,\n",
       " '20': 71.55417527999329,\n",
       " '25': 100.0}"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "legend"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "c4eed9e3-8068-4115-a056-98cd9244b42b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0, 1.5]\n"
     ]
    }
   ],
   "source": [
    "color_lim = [0, 1.5]\n",
    "vals = output_df_subset['expression_level'].values.flatten()\n",
    "vals = np.array(vals, dtype=\"float64\")\n",
    "\n",
    "if color_lim is None:\n",
    "    max_val = np.nanmax(vals)\n",
    "    min_val = np.nanmin(vals)\n",
    "elif type(color_lim) == list:\n",
    "    min_val, max_val = color_lim\n",
    "    print(color_lim)\n",
    "    \n",
    "offset = mcolors.Normalize(vmin=min_val, vmax=max_val)\n",
    "cmap = matplotlib.cm.Reds\n",
    "colors = cmap(offset(vals))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "16fb3ef1-78b9-446d-bc4e-301a0b7fa027",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 960x240 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# set figsize\n",
    "fig = plt.figure(figsize=(3.2, 0.8))\n",
    "# set grid\n",
    "fig.subplots_adjust(\n",
    "    bottom=.2, top=.75, right=.85\n",
    ")\n",
    "# set gridspec\n",
    "axs = fig.add_gridspec(\n",
    "    nrows=30,\n",
    "    ncols=2,\n",
    "    wspace=.15,\n",
    "    hspace=.15,\n",
    "    width_ratios=[16, 4], #7\n",
    ")\n",
    "\n",
    "fig.tight_layout()\n",
    "\n",
    "dot_ax = fig.add_subplot(axs[:, 0])\n",
    "dot_ax.scatter(x = output_df_subset[yaxis].map(y_to_num),\n",
    "               y = output_df_subset[xaxis].map(x_to_num),\n",
    "               s = sizes,\n",
    "               marker=marker, \n",
    "               linewidth=0.1,\n",
    "               edgecolor='black', \n",
    "                     c = colors,)\n",
    "dot_ax.set(ylim=(-0.5, len(x_order)-.5), xlim=(-0.5, len(y_order)-.5))\n",
    "dot_ax.set_yticks(list(x_to_num.values()), list(x_to_num.keys()), fontsize=6);\n",
    "dot_ax.set_xticks(list(y_to_num.values()), list(y_to_num.keys()), fontsize=6, rotation=90, horizontalalignment='center', );\n",
    "\n",
    "\n",
    "cbar = fig.add_subplot(axs[7:10, 1])\n",
    "plt.setp(cbar.spines.values(), linewidth=.5)\n",
    "bar_ax = matplotlib.colorbar.ColorbarBase(\n",
    "    cbar,\n",
    "    cmap=cmap,\n",
    "    orientation=\"horizontal\",\n",
    "    norm=offset,\n",
    "    drawedges=False,\n",
    "    boundaries=None,\n",
    "    ticks=np.round(np.linspace(min_val, max_val, num=4)*10)/10,\n",
    ")\n",
    "for t in cbar.get_xticklabels():\n",
    "    t.set_fontsize(4)\n",
    "cbar_title = cbar.set_title(\"Pseudo bulk expression\\nper sample log$_{2}$(CPM+1)\", fontsize=4)\n",
    "cbar_title.set_position([0.5, .95])  # Adjust the position here\n",
    "\n",
    "lgd = fig.add_subplot(axs[20:, 1])\n",
    "lgd.scatter(\n",
    "    x= np.arange(len(legend)),\n",
    "    y=[0] * len(legend),\n",
    "    s=list(legend.values()),\n",
    "    marker=marker,\n",
    "    linewidth=.05,\n",
    "    edgecolors='k',\n",
    "    c=\"grey\",\n",
    ")\n",
    "\n",
    "lgd_title = lgd.set_xlabel('Fraction of cells\\nper sample (%)', fontsize=4)\n",
    "lgd.set_xlim(-0.5, len(legend))\n",
    "lgd.set_yticks([])\n",
    "lgd.set_xticks(\n",
    "    np.arange(len(legend)),\n",
    "    list(legend.keys()),\n",
    "    fontsize=4,\n",
    ")\n",
    "\n",
    "lgd.spines[\"top\"].set_visible(False)\n",
    "lgd.spines[\"right\"].set_visible(False)\n",
    "lgd.spines[\"bottom\"].set_visible(False)\n",
    "lgd.spines[\"left\"].set_visible(False)\n",
    "plt.savefig(\"../figures/Fig3B.pdf\", bbox_inches = \"tight\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4193c1f8-e427-4bbe-92d3-025b669cb59c",
   "metadata": {},
   "source": [
    "# Read processed data from Pelka 2021"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "ef606796-a0af-4b63-87fa-cfc806d4526e",
   "metadata": {},
   "outputs": [],
   "source": [
    "fraction = pd.read_csv(\"../OncoMark/data/datasets/Pelka2021/Pelka2021_IGSF8_KIR3DL2_B2M_KLRC1_fraction.csv\", header=None, index_col=0).T.set_index([\"MMRStatus\", \"clMidwayPr\"]).astype(float)\n",
    "average_expr = pd.read_csv(\"../OncoMark/data/datasets/Pelka2021/Pelka2021_IGSF8_KIR3DL2_B2M_KLRC1_average.csv\", header=None, index_col=0).T.set_index([\"MMRStatus\", \"clMidwayPr\"]).astype(float)\n",
    "average_expr_minmax = (average_expr - average_expr.min()) / (average_expr.max() - average_expr.min())\n",
    "expr_frac_df = average_expr_minmax.join(fraction, rsuffix=\"_fraction\", how='outer').reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "3e324e28-6607-4749-a555-ceaa3362f77e",
   "metadata": {},
   "outputs": [],
   "source": [
    "ordered_celltype = [\"Epi/Malignant\", \"NK\", \"ILC\", \"Tgd\", \"TZBTB16\", \"TCD8\", \"TCD4\", \"B\", \"Plasma\", \"Mono\", \"Macro\", \"DC\", \"Mast\", \"Endo\", \"Fibro\", \"Granulo\", \"SmoothMuscle\", \"Schwann\", \"Peri\"]\n",
    "expr_frac_df['clMidwayPr'] = pd.Categorical(expr_frac_df['clMidwayPr'], categories=ordered_celltype, ordered=True)\n",
    "expr_frac_df[\"MMRStatus\"] = expr_frac_df[\"MMRStatus\"].replace(\"Normal\", \"Adjacent normal\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "c72b7822-a4db-4e1e-9347-3d4d49b7a760",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>MMRStatus</th>\n",
       "      <th>clMidwayPr</th>\n",
       "      <th>IGSF8</th>\n",
       "      <th>KIR3DL2</th>\n",
       "      <th>B2M</th>\n",
       "      <th>KLRC1</th>\n",
       "      <th>IGSF8_fraction</th>\n",
       "      <th>KIR3DL2_fraction</th>\n",
       "      <th>B2M_fraction</th>\n",
       "      <th>KLRC1_fraction</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>MMRd</td>\n",
       "      <td>B</td>\n",
       "      <td>0.145183</td>\n",
       "      <td>0.006603</td>\n",
       "      <td>0.655126</td>\n",
       "      <td>0.006875</td>\n",
       "      <td>0.036039</td>\n",
       "      <td>0.000759</td>\n",
       "      <td>0.987102</td>\n",
       "      <td>0.004932</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>MMRd</td>\n",
       "      <td>DC</td>\n",
       "      <td>0.329034</td>\n",
       "      <td>0.028905</td>\n",
       "      <td>0.797448</td>\n",
       "      <td>0.018825</td>\n",
       "      <td>0.092145</td>\n",
       "      <td>0.004028</td>\n",
       "      <td>0.995468</td>\n",
       "      <td>0.015106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>MMRd</td>\n",
       "      <td>Endo</td>\n",
       "      <td>0.218571</td>\n",
       "      <td>0.009907</td>\n",
       "      <td>0.655514</td>\n",
       "      <td>0.003513</td>\n",
       "      <td>0.068985</td>\n",
       "      <td>0.001104</td>\n",
       "      <td>0.995585</td>\n",
       "      <td>0.002759</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>MMRd</td>\n",
       "      <td>Epi/Malignant</td>\n",
       "      <td>0.817641</td>\n",
       "      <td>0.004904</td>\n",
       "      <td>0.232140</td>\n",
       "      <td>0.006906</td>\n",
       "      <td>0.278092</td>\n",
       "      <td>0.000727</td>\n",
       "      <td>0.946622</td>\n",
       "      <td>0.007376</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>MMRd</td>\n",
       "      <td>Fibro</td>\n",
       "      <td>0.515200</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.656572</td>\n",
       "      <td>0.005566</td>\n",
       "      <td>0.154489</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.993737</td>\n",
       "      <td>0.005219</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "0 MMRStatus     clMidwayPr     IGSF8   KIR3DL2       B2M     KLRC1  \\\n",
       "0      MMRd              B  0.145183  0.006603  0.655126  0.006875   \n",
       "1      MMRd             DC  0.329034  0.028905  0.797448  0.018825   \n",
       "2      MMRd           Endo  0.218571  0.009907  0.655514  0.003513   \n",
       "3      MMRd  Epi/Malignant  0.817641  0.004904  0.232140  0.006906   \n",
       "4      MMRd          Fibro  0.515200  0.000000  0.656572  0.005566   \n",
       "\n",
       "0  IGSF8_fraction  KIR3DL2_fraction  B2M_fraction  KLRC1_fraction  \n",
       "0        0.036039          0.000759      0.987102        0.004932  \n",
       "1        0.092145          0.004028      0.995468        0.015106  \n",
       "2        0.068985          0.001104      0.995585        0.002759  \n",
       "3        0.278092          0.000727      0.946622        0.007376  \n",
       "4        0.154489          0.000000      0.993737        0.005219  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "expr_frac_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "503d090e-91e8-4168-9c04-fc6aef8a7a5b",
   "metadata": {},
   "source": [
    "## Plotting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "eaa6fa66-c59e-4a5d-b957-502ed7ac640e",
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_colors(values, cmap = matplotlib.cm.Reds, color_lim = None):\n",
    "\n",
    "    vals = np.array(values, dtype=\"float64\")\n",
    "\n",
    "    if color_lim is None:\n",
    "        max_val = np.nanmax(vals)\n",
    "        min_val = np.nanmin(vals)\n",
    "    elif type(color_lim) == list:\n",
    "        min_val, max_val = color_lim\n",
    "        print(color_lim)\n",
    "\n",
    "    offset = mcolors.Normalize(vmin=min_val, vmax=max_val)\n",
    "    colors = cmap(offset(vals))\n",
    "    return colors, offset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "d971212a-e4de-41ff-a360-7acc37a8992b",
   "metadata": {},
   "outputs": [],
   "source": [
    "ordered_celltype = ['Epi/Malignant','NK','ILC','Tgd','TZBTB16','TCD8','TCD4','B','Plasma','Mono', 'Macro','DC','Mast', 'Granulo', 'Endo', 'Fibro']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "178c8857-c020-4fac-8fa1-b4ed2e92e07c",
   "metadata": {},
   "outputs": [],
   "source": [
    "xaxis = 'MMRStatus'\n",
    "x_order = ['Adjacent normal', 'MMRd', 'MMRp']\n",
    "yaxis = 'clMidwayPr'\n",
    "y_order = ordered_celltype\n",
    "\n",
    "x_to_num = {p[1]:p[0] for p in enumerate(x_order)} \n",
    "y_to_num = {p[1]:p[0] for p in enumerate(y_order[::-1])}\n",
    "\n",
    "gene_order = [\"KIR3DL2\", \"IGSF8\", \"B2M\"]\n",
    "markers = {\"KLRC1\": \"p\", \n",
    "           \"KIR3DL2\": \"h\", \n",
    "           \"IGSF8\": \"o\",\n",
    "           \"B2M\": \"*\"}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "ec2365e6-97bc-4800-802d-87d85230deef",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0, 1]\n",
      "step:  0.02\n",
      "[0, 1]\n",
      "step:  0.1\n",
      "[0, 1]\n",
      "step:  0.2\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x1200 with 7 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# set figsize\n",
    "fig = plt.figure(figsize=(.6*len(gene_order)+.6, 4.))\n",
    "\n",
    "# set grid\n",
    "fig.subplots_adjust(\n",
    "    bottom=.2, top=.75, right=.85\n",
    ")\n",
    "# set gridspec\n",
    "axs = fig.add_gridspec(\n",
    "    nrows=16,\n",
    "    ncols=30*len(gene_order)+30,\n",
    "    wspace=0.05,\n",
    "    hspace=0.05,\n",
    ")\n",
    "fig.tight_layout()\n",
    "\n",
    "cmap = matplotlib.cm.Reds\n",
    "for i, gene in enumerate(gene_order):\n",
    "    values = expr_frac_df[gene].values.flatten()\n",
    "    colors, offset = get_colors(values, cmap, color_lim = [0, 1])\n",
    "    sizes, legend = size_legend_dot(expr_frac_df[f\"{gene}_fraction\"].values, largest_dot=75)\n",
    "    \n",
    "    dot_ax = fig.add_subplot(axs[:, i*30:i*30+27])\n",
    "    dot_ax.scatter(x = expr_frac_df[xaxis].map(x_to_num),\n",
    "                   y = expr_frac_df[yaxis].map(y_to_num),\n",
    "                   s = sizes,\n",
    "                   marker=markers[gene], \n",
    "                   linewidth=0.1,\n",
    "                   edgecolor='black',\n",
    "                   c = colors,)\n",
    "    dot_ax.set_title(gene)\n",
    "    dot_ax.set(xlim=(-0.55, len(x_order)-.45), ylim=(-0.5, len(y_order)-.5))\n",
    "    dot_ax.set_xticks(list(x_to_num.values()), list(x_to_num.keys()), fontsize=6, rotation=45, horizontalalignment='right');\n",
    "    if i == 0 :\n",
    "        dot_ax.set_yticks(list(y_to_num.values()), list(y_to_num.keys()), fontsize=6);\n",
    "    else:\n",
    "        dot_ax.set_yticks([]);\n",
    "\n",
    "    lgd = fig.add_subplot(axs[i*3:i*3+1, 30*len(gene_order):])\n",
    "    lgd.scatter(\n",
    "        x= np.arange(len(legend)),\n",
    "        y=[0] * len(legend),\n",
    "        s=list(legend.values()),\n",
    "        marker=markers[gene],\n",
    "        linewidth=.05,\n",
    "        edgecolors='k',\n",
    "        c=\"grey\",\n",
    "    )\n",
    "    lgd.set_xlim(-0.5, len(legend))\n",
    "    lgd.set_yticks([])\n",
    "    lgd.set_xticks(\n",
    "        np.arange(len(legend)),\n",
    "        list(legend.keys()),\n",
    "        fontsize=4,\n",
    "    )\n",
    "    lgd.spines[\"top\"].set_visible(False)\n",
    "    lgd.spines[\"right\"].set_visible(False)\n",
    "    lgd.spines[\"bottom\"].set_visible(False)\n",
    "    lgd.spines[\"left\"].set_visible(False)\n",
    "    if i < 2:\n",
    "        lgd_title = lgd.set_xlabel(\"\")\n",
    "    else:\n",
    "        lgd_title = lgd.set_xlabel('Fraction of cells\\nin group (%)', fontsize=4)\n",
    "    \n",
    "cbar = fig.add_subplot(axs[12:13, 30*len(gene_order):])\n",
    "plt.setp(cbar.spines.values(), linewidth=.5)\n",
    "bar_ax = matplotlib.colorbar.ColorbarBase(\n",
    "    cbar,\n",
    "    cmap=cmap,\n",
    "    orientation=\"horizontal\",\n",
    "    norm=offset,\n",
    "    drawedges=False,\n",
    "    boundaries=None,\n",
    "    ticks=np.round(np.linspace(0, 1., num=2)*10)/10,\n",
    ")\n",
    "bar_ax.set_ticklabels(['min', 'max'])\n",
    "\n",
    "for t in cbar.get_xticklabels():\n",
    "    t.set_fontsize(4)\n",
    "cbar_title = cbar.set_title(\"Mean expression\\nin group\", fontsize=4)\n",
    "cbar_title.set_position([0.5, .95])  # Adjust the position here\n",
    "\n",
    "plt.savefig(\"../figures/Fig3D.pdf\", bbox_inches = \"tight\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "IGSF8",
   "language": "python",
   "name": "igsf8"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}