首页/数据集/Sanger Genomics of Drug Sensitivity in Cancer Project (GDSC) RNA-seq cancer cell line gene expression data

Sanger Genomics of Drug Sensitivity in Cancer Project (GDSC) RNA-seq cancer cell line gene expression data

ChEBI2017-09-25 更新2026-07-12 收录

抗癌药物基因组学

癌细胞系

数据链接：

https://www.ebi.ac.uk/biostudies/ArrayExpress/studies/E-MTAB-3983 数据链接链接失效反馈

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资源简介：

Sanger Genomics of Drug Sensitivity in Cancer Project (GDSC) RNA-seq cancer cell line gene expression data

应用场景：

创建时间：

2017-09-25

转录组学

癌细胞系

LongBench is a comprehensive benchmark dataset of the latest long-read transcriptomics technologies from Oxford Nanopore (ON) and Pacific Biosciences, alongside a comparison with next-generation seque

aws亚马逊开源数据集120

Supplementary Table 4 from Integrative Cancer Pharmacogenomics to Infer Large-Scale Drug Taxonomy

抗癌药物基因组学

药物功能分类

Enrichment of DNF drug communities

NIAID Data Ecosystem50

Processed DepMap CCLE 21Q3 expression data

癌细胞系

癌症依赖图谱

CCLE 21Q3 processed expression data

NIAID Data Ecosystem40

Fig A Hierarchical cluster dendrogram for the pairwise Pearson correlation coefficients of the CGP data; Fig B Heatmap of GI50 correlations for the CGP data; Fig C Glmnet EN regression output for PD-0325901; Fig D Heatmap for CGP drugs that yielded a converged EN model with 10 or more genes; Fig E: Heatmap for minimal EN model of bortezomib; Table A.

抗癌药物基因组学

药物敏感性预测

Pvclust result for GI50 measures in the CGP tumor cells; Table B. Cluster results for EN genes; Table C. GSEA results for minimal EN models of PD_0325901; Table D. GSEA results for the minimal EN gene

NIAID Data Ecosystem50

Additional file 14 of Machine learning approach informs biology of cancer drug response

抗癌药物基因组学

生物过程富集分析

Additional file 14. Supplementary Table S12. Top 20 GO Biological Processes enrichment of elastic-net derived genes for PTX analysis without blood cancers. P-values shown are uncorrected for multiple

Figshare2022-05-17 更新40

Sanger Genomics of Drug Sensitivity in Cancer Project (GDSC) RNA-seq cancer cell line gene expression data

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