Preprocessed CMAP dataset for UNAGI in-silico perturbation

These are preprocessed drug/compound info files from CMAP LINCS 2020 database, https://clue.io/data/CMap2020#LINCS2020. 'cmap_drug_target.npy' uses the direct drug target genes provided in CMAP LINCS 2020. 'cmap_drug_treated_res_cutoff.npy' uses genes which is up/down-regulated significantly after individual drug treatments in CMAP LINCS 2020. The level 5 MODZ score was used to determine the extent of gene expression changes after treatments. Top 5% significantly changed drug-gene pairs are kept. NOTE: Running perturbation with this file could take a long time. To reduce the run time, you can use only a subset of this data. e.g. running 'use_only_drugs.py' to run perturbation with only established drugs. 'cmap_direction_df.npy' indicates the direction of gene regulated by drugs after treatments. The level 5 MODZ score was used to indicate the direction of changes. 'use_only_drugs.py' filters out compounds without a formal drug name, e.g. 'BRD-xxxxx' will be removed. This script can extract established drugs for the repurposing purpose. NOTE: if you use 'cmap_drug_target.npy', you don't need to run this script.本数据集为源自CMAP LINCS 2020数据库（https://clue.io/data/CMap2020#LINCS2020）的预处理药物/化合物信息文件。 `cmap_drug_target.npy` 采用CMAP LINCS 2020数据库中直接提供的药物靶点基因。 `cmap_drug_treated_res_cutoff.npy` 对应CMAP LINCS 2020数据库中，经单一药物处理后发生显著上调或下调的基因。该数据集使用Level 5 MODZ评分衡量药物处理后基因表达变化的幅度，仅保留排名前5%的显著改变药物-基因对。注意：使用此文件开展扰动分析可能耗时较长，若需缩短运行时长，可仅使用部分数据，例如通过运行`use_only_drugs.py`仅针对已确认药物开展扰动分析。 `cmap_direction_df.npy` 用于指示药物处理后对基因的调控方向，同样采用Level 5 MODZ评分体现基因表达变化的方向。 `use_only_drugs.py` 该脚本用于过滤掉无正式药物名称的化合物（例如会移除形如“BRD-xxxxx”的条目），可提取可用于药物重定位研究的已确认药物。注意：若使用`cmap_drug_target.npy`，则无需运行此脚本。