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docs/build/html/_downloads/fe02006031f96dc9a3a8b158e5899dae/aaanalysis-CPPPlot-1.py
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import matplotlib.pyplot as plt | ||
import aaanalysis as aa | ||
sf = aa.SequenceFeature() | ||
df_seq = aa.load_dataset(name='SEQ_DISULFIDE', min_len=100) | ||
labels = list(df_seq["label"]) | ||
df_parts = sf.get_df_parts(df_seq=df_seq, jmd_n_len=10, jmd_c_len=10) |
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.. | ||
Developer Notes: | ||
This is the index file for all tables of the AAanalysis documentation. Each table should be saved the /tables | ||
directory. This file will serve as template for tables.rst, which is automatically created on the information | ||
provided here and in the .csv tables from the /tables directory. Add a new table as .csv in the /tables directory, | ||
in the overview table at the beginning of this document, and a new section with a short description of it in this | ||
document. Each column and important data types (e.g., categories) should be described. Each table should contain a | ||
'Reference' column. | ||
Ignore 'tables_template.rst: WARNING: document isn't included in any toctree' warning | ||
Tables | ||
====================== | ||
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.. contents:: | ||
:local: | ||
:depth: 1 | ||
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Overview Table | ||
-------------- | ||
All tables from the AAanalysis documentation are given here in chronological order of the project history. | ||
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.. _0_mapper: | ||
.. list-table:: | ||
:header-rows: 1 | ||
:widths: 8 8 8 | ||
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* - Table | ||
- Description | ||
- See also | ||
* - 1_overview_benchmarks | ||
- Protein benchmark datasets | ||
- aa.load_dataset | ||
* - 2_overview_scales | ||
- Amino acid scale datasets | ||
- aa.load_scales | ||
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Protein benchmark datasets | ||
-------------------------- | ||
Three types of benchmark datasets are provided: | ||
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- Residue prediction (AA): Datasets used to predict residue (amino acid) specific properties. | ||
- Domain prediction (DOM): Dataset used to predict domain specific properties. | ||
- Sequence prediction (SEQ): Datasets used to predict sequence specific properties. | ||
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The classification of each dataset is indicated as first part of their name followed by an abbreviation for the | ||
specific dataset (e.g., 'AA_LDR', 'DOM_GSEC', 'SEQ_AMYLO'). For some datasets, an additional version of it is provided | ||
for positive-unlabeled (PU) learning containing only positive (1) and unlabeled (2) data samples, as indicated by | ||
*dataset_name_PU* (e.g., 'DOM_GSEC_PU'). | ||
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.. _1_overview_benchmarks: | ||
.. list-table:: | ||
:header-rows: 1 | ||
:widths: 8 8 8 8 8 8 8 8 8 8 | ||
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* - Level | ||
- Dataset | ||
- # Sequences | ||
- # Amino acids | ||
- # Positives | ||
- # Negatives | ||
- Predictor | ||
- Description | ||
- Reference | ||
- Label | ||
* - Amino acid | ||
- AA_CASPASE3 | ||
- 233 | ||
- 185605 | ||
- 705 | ||
- 184900 | ||
- PROSPERous | ||
- Prediction of caspase-3 cleavage site | ||
- :ref:`Song18 <Song18>` | ||
- 1 (adjacent to cleavage site), 0 (not adjacent to cleavage site) | ||
* - Amino acid | ||
- AA_FURIN | ||
- 71 | ||
- 59003 | ||
- 163 | ||
- 58840 | ||
- PROSPERous | ||
- Prediction of furin cleavage site | ||
- :ref:`Song18 <Song18>` | ||
- 1 (adjacent to cleavage site), 0 (not adjacent to cleavage site) | ||
* - Amino acid | ||
- AA_LDR | ||
- 342 | ||
- 118248 | ||
- 35469 | ||
- 82779 | ||
- IDP-Seq2Seq | ||
- Prediction of long intrinsically disordered regions (LDR) | ||
- :ref:`Tang20 <Tang20>` | ||
- 1 (disordered), 0 (ordered) | ||
* - Amino acid | ||
- AA_MMP2 | ||
- 573 | ||
- 312976 | ||
- 2416 | ||
- 310560 | ||
- PROSPERous | ||
- Prediction of Matrix metallopeptidase-2 (MMP2) cleavage site | ||
- :ref:`Song18 <Song18>` | ||
- 1 (adjacent to cleavage site), 0 (not adjacent to cleavage site) | ||
* - Amino acid | ||
- AA_RNABIND | ||
- 221 | ||
- 55001 | ||
- 6492 | ||
- 48509 | ||
- GMKSVM-RU | ||
- Prediction of RNA-binding protein residues (RBP60 dataset) | ||
- :ref:`Yang21 <Yang21>` | ||
- 1 (binding), 0 (non-binding) | ||
* - Amino acid | ||
- AA_SA | ||
- 233 | ||
- 185605 | ||
- 101082 | ||
- 84523 | ||
- PROSPERous | ||
- Prediction of solvent accessibility (SA) of residue (AA_CASPASE3 data set) | ||
- :ref:`Song18 <Song18>` | ||
- 1 (exposed/accessible), 0 (buried/non-accessible) | ||
* - Sequence | ||
- SEQ_AMYLO | ||
- 1414 | ||
- 8484 | ||
- 511 | ||
- 903 | ||
- ReRF-Pred | ||
- Prediction of amyloidognenic regions | ||
- :ref:`Teng21 <Teng21>` | ||
- 1 (amyloidogenic), 0 (non-amyloidogenic) | ||
* - Sequence | ||
- SEQ_CAPSID | ||
- 7935 | ||
- 3364680 | ||
- 3864 | ||
- 4071 | ||
- VIRALpro | ||
- Prediction of capdsid proteins | ||
- :ref:`Galiez16 <Galiez16>` | ||
- 1 (capsid protein), 0 (non-capsid protein) | ||
* - Sequence | ||
- SEQ_DISULFIDE | ||
- 2547 | ||
- 614470 | ||
- 897 | ||
- 1650 | ||
- Dipro | ||
- Prediction of disulfide bridges in sequences | ||
- :ref:`Cheng06 <Cheng06>` | ||
- 1 (sequence with SS bond), 0 (sequence without SS bond) | ||
* - Sequence | ||
- SEQ_LOCATION | ||
- 1835 | ||
- 732398 | ||
- 1045 | ||
- 790 | ||
- nan | ||
- Prediction of subcellular location of protein (cytoplasm vs plasma membrane) | ||
- :ref:`Shen19 <Shen19>` | ||
- 1 (protein in cytoplasm), 0 (protein in plasma membrane) | ||
* - Sequence | ||
- SEQ_SOLUBLE | ||
- 17408 | ||
- 4432269 | ||
- 8704 | ||
- 8704 | ||
- SOLpro | ||
- Prediction of soluble and insoluble proteins | ||
- :ref:`Magnan09 <Magnan09>` | ||
- 1 (soluble), 0 (insoluble) | ||
* - Sequence | ||
- SEQ_TAIL | ||
- 6668 | ||
- 2671690 | ||
- 2574 | ||
- 4094 | ||
- VIRALpro | ||
- Prediction of tail proteins | ||
- :ref:`Galiez16 <Galiez16>` | ||
- 1 (tail protein), 0 (non-tail protein) | ||
* - Domain | ||
- DOM_GSEC | ||
- 126 | ||
- 92964 | ||
- 63 | ||
- 63 | ||
- nan | ||
- Prediction of gamma-secretase substrates | ||
- :ref:`Breimann23c <Breimann23c>` | ||
- 1 (substrate), 0 (non-substrate) | ||
* - Domain | ||
- DOM_GSEC_PU | ||
- 694 | ||
- 494524 | ||
- 63 | ||
- 0 | ||
- nan | ||
- Prediction of gamma-secretase substrates (PU dataset) | ||
- :ref:`Breimann23c <Breimann23c>` | ||
- 1 (substrate), 2 (unknown substrate status) | ||
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Amino acid scale datasets | ||
------------------------- | ||
Different amino acid scale datasets are provided | ||
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.. _2_overview_scales: | ||
.. list-table:: | ||
:header-rows: 1 | ||
:widths: 8 8 8 8 | ||
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* - Dataset | ||
- Description | ||
- # Scales | ||
- Reference | ||
* - scales | ||
- Amino acid scales (min-max normalized) | ||
- 586 | ||
- :ref:`Breimann23b <Breimann23b>` | ||
* - scales_raw | ||
- Amino acid scales (raw values) | ||
- 586 | ||
- :ref:`Kawashima08 <Kawashima08>` | ||
* - scales_classification | ||
- Classification of scales (Aaontology) | ||
- 586 | ||
- :ref:`Breimann23b <Breimann23b>` | ||
* - scales_pc | ||
- Principal component (PC) compressed scales | ||
- 20 | ||
- :ref:`Breimann23a <Breimann23a>` | ||
* - top60 | ||
- Top 60 scale subsets | ||
- 60 | ||
- :ref:`Breimann23a <Breimann23a>` | ||
* - top60_eval | ||
- Evaluation of top 60 scale subsets | ||
- 60 | ||
- :ref:`Breimann23a <Breimann23a>` | ||
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docs/build/html/_sources/generated/aaanalysis.AAclust.rst.txt
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aaanalysis.AAclust | ||
================== | ||
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.. currentmodule:: aaanalysis | ||
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.. autoclass:: AAclust | ||
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.. automethod:: __init__ | ||
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.. rubric:: Methods | ||
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.. autosummary:: | ||
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~AAclust.__init__ | ||
~AAclust.cluster_naming | ||
~AAclust.correlation | ||
~AAclust.eval | ||
~AAclust.fit | ||
~AAclust.get_cluster_centers | ||
~AAclust.get_cluster_medoids | ||
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aaanalysis.CPP | ||
============== | ||
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.. currentmodule:: aaanalysis | ||
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.. autoclass:: CPP | ||
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.. automethod:: __init__ | ||
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.. rubric:: Methods | ||
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.. autosummary:: | ||
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~CPP.__init__ | ||
~CPP.eval | ||
~CPP.run | ||
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docs/build/html/_sources/generated/aaanalysis.CPPPlot.rst.txt
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aaanalysis.CPPPlot | ||
================== | ||
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.. currentmodule:: aaanalysis | ||
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.. autoclass:: CPPPlot | ||
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.. automethod:: __init__ | ||
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.. rubric:: Methods | ||
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.. autosummary:: | ||
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~CPPPlot.__init__ | ||
~CPPPlot.heatmap | ||
~CPPPlot.profile | ||
~CPPPlot.update_seq_size | ||
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