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