BOSO: A novel feature selection algorithm for linear regression with high-dimensional data
Fig 7
Prediction of Methotrexate cytotoxicity in cancer.
Using 100 random partitions of data into training, validation and test sets: a) Pearson correlation obtained with BOSO, Forward Stepwise, Lasso and Relaxed in the Test partition; b) Number of active features selected in the approaches included in Fig 7A; c) Experimental validation of IC50 values predicted by the BOSO-BIC algorithm for 5 MTX-sensitive (PF-382, P12-ICHIKAWA, JVM-2, PEER, SEM) and 5 MTX-resistant (U87MG, A498, LOUNH91, UMUC1, UMUC7). The cell lines with available GDSC IC50 values (PF-382, P12-ICHIKAWA, JVM-2, U87MG, A498, LOUNH91) were excluded from the model construction process.