Melanoma RNA-seq and dose-response data from GDSC for ML+mechanistic modeling

Read full text
Authors: L. Lynn Harris
Cited by: 0

Abstract

This dataset contains pharmacogenomic drug-response and RNA-seq data used for machine-learning and mechanistic-modeling studies of cancer drug response. The release includes DepMap RNA-seq and sample metadata, LINCS landmark-gene information, and PharmacoSet objects obtained from PharmacoDB for CCLE, CTRPv2, GDSC1, GDSC2, NCI-60, FIMM, gCSI, GRAY, PRISM, and UHNBreast (https://pharmacodb.ca/datasets). The PharmacoDB files preserve the source PharmacoSet objects so that standardized drug-response metrics and, where available, raw dose-response measurements can be extracted and reanalyzed. This version replaces the previously included GDSC1 and GDSC2 fitted dose-response CSV files with PharmacoDB PharmacoSet objects. The earlier CSV files remain available through the preceding Zenodo version for reproducibility of analyses based on those datasets.

Fields of Study & Subjects

Computational Drug Discovery Methods Cancer Genomics and Diagnostics Gene expression and cancer classification

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
13 February 2026
Language
EN
Document type
Dataset