Methodological challenges in translational drug response modeling in cancer: A systematic analysis with FORESEE
Fig 7
Validation of model setting guidelines.
Boxplots of the performances of all 3,920 FORESEE modeling pipelines for each of the seven different patient data sets: GSE6434, GSE18864, GSE51373, GSE33072 Erlotinib cohort, GSE33072 Sorafenib cohort, GSE9782 GLP96 cohort and GSE9782 GLP97 cohort, compared to only those 35 pipelines that include landmark genes as gene filter, PCA as preprocessing method and linear regression as modeling algorithm. The p-values are the results of a t-test between the two distributions.