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Merge branch 'development' into docs_fix
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docs/conf.py

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#!/usr/bin/env python
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"""Configuration file for the Sphinx documentation builder."""
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# mypy: ignore-errors
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# drevalpy documentation build configuration file
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#
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# the built documents.
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#
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# The short X.Y version.
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version = "1.4.1"
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version = "1.4.2"
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# The full version, including alpha/beta/rc tags.
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release = "1.4.1"
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release = "1.4.2"
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# The language for content autogenerated by Sphinx. Refer to documentation
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# for a list of supported languages.

drevalpy/datasets/featurizer/create_molgnet_embeddings.py

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Creates MolGNet embeddings for molecules given their SMILES strings. This module needs torch_scatter.
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python create_molgnet_embeddings.py dataset_name --checkpoint meta/MolGNet.pt --data_path data
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"""
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import argparse
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import math
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import os

drevalpy/models/MOLIR/molir.py

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cell_line_input=cell_line_input,
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drug_input=drug_input,
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)
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(gene_expression, mutations, cnvs) = (
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gene_expression, mutations, cnvs = (
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input_data["gene_expression"],
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input_data["mutations"],
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input_data["copy_number_variation_gistic"],
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)
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(gene_expression, mutations, cnvs) = filter_and_sort_omics(
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gene_expression, mutations, cnvs = filter_and_sort_omics(
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model=self, gene_expression=gene_expression, mutations=mutations, cnvs=cnvs, cell_line_input=cell_line_input
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)
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drevalpy/models/SuperFELTR/superfeltr.py

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mutations = input_data["mutations"]
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cnvs = input_data["copy_number_variation_gistic"]
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(gene_expression, mutations, cnvs) = filter_and_sort_omics(
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gene_expression, mutations, cnvs = filter_and_sort_omics(
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model=self, gene_expression=gene_expression, mutations=mutations, cnvs=cnvs, cell_line_input=cell_line_input
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)
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pyproject.toml

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[tool.poetry]
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name = "drevalpy"
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version = "1.4.1"
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version = "1.4.2"
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description = "Drug response evaluation of cancer cell line drug response models in a fair setting"
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authors = ["DrEvalPy development team"]
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license = "GPL-3.0"

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