Table 8 Details of omics datasets used
From: Deep learning and multi-omics approach to predict drug responses in cancer
Source | Dataset | Size |
|---|---|---|
CCLE | mRNA expressions | 1210 cell lines, 19,145 genes |
gene mutations | 1656 cell lines, 18,789 genes,1,239,235 mutations | |
RPPA expressions | 899 cell lines, 215 proteins | |
metabolomics data | 928 cell lines, 227 metabolites | |
GDSC | CNV data | 987 cell lines, 25,638 genes |
IC50 responses | 810 cell lines, 175 drugs | |
HINT | Interactome | 62,345 binary protein pair interaction |