CancerRxTissue

CancerRxTissue builts predictive models for 272 drugs using data on gene expression from CCLE and drug sensitivity (IC50) from cancer cell lines from GDSC. And these predictive models were applied to ~17,000 RNA-seq samples from TCGA and 5,894 RNA-seq samples from the GTEx to predict drug sensitivity for both normal and tumor tissues.CancerRxTissue数据集构建了针对272种药物的预测模型，所用数据来自癌细胞系百科全书（Cancer Cell Line Encyclopedia, CCLE）的基因表达谱，以及癌症药物敏感性基因组学数据库（Genomics of Drug Sensitivity in Cancer, GDSC）的癌细胞系药物敏感性（半最大抑制浓度, IC50）数据。随后，这些预测模型被应用于来自癌症基因组图谱（The Cancer Genome Atlas, TCGA）的约17000个RNA测序（RNA-seq）样本，以及来自基因型组织表达项目（Genotype-Tissue Expression, GTEx）的5894个RNA-seq样本，以此预测正常组织与肿瘤组织的药物敏感性。