Table 1 Mean square error (MSE) and coefficient of determination \(R^2\) values for drug response prediction with single omics data
From: Deep learning and multi-omics approach to predict drug responses in cancer
Dataset | Embedding | MSE | \(\mathrm {R^2}\) |
|---|---|---|---|
mRNA expression | Dense | 7.69 ± 4.05 | −1.94 ± 1.76 |
Graph | 2.37 ± 0.16 | 0.24 ± 0.02 | |
Mutations | Dense | 11.41 ± 1.86 | −3.42 ± 0.93 |
Graph | 3.25 ± 0.13 | −0.02 ± 0.01 | |
CNV | Dense | 13.32 ± 2.23 | −4.23 ± 0.93 |
Graph | 3.32 ± 0.14 | −0.04 ± 0.03 | |
RPPA expression | Dense | 3.11 ± 0.19 | −0.02 ± 0.05 |
metabolites | Dense | 2.97 ± 0.13 | 0.07 ± 0.01 |