Table 2 Comparison of the algorithm in this paper with other algorithms (Taking the CTRP-L1000-24h(S1) dataset as an example)
From: Drug-induced cell viability prediction from LINCS-L1000 through WRFEN-XGBoost algorithm
Methods | Pearson Correlation | \(R^2\) | Mean Squared Error |
|---|---|---|---|
Our model | 0.8321 | 0.6922 | 0.025 |
PCA-Lasso | 0.7887 | 0.6211 | 0.031 |
PCA-SVR | 0.7900 | 0.6211 | 0.031 |
FTest-RF | 0.7942 | 0.6304 | 0.030 |
MI-KNN | 0.8054 | 0.6414 | 0.030 |
VAE | 0.8289 | 0.6823 | 0.026 |
DAE-NN | 0.8033 | 0.6174 | 0.032 |