Methodological challenges in translational drug response modeling in cancer: A systematic analysis with FORESEE
Fig 2
Heatmaps of the performance of the best modeling pipeline of each patient data set in each of the other patient data sets.
(A) The color depicts the AUC of ROC of the respective pipelines. (B) The color represents the rank of the modeling pipeline among all 3,920 pipelines that were trained for a specific data set. More details of the modeling pipelines are listed in Table 1. The ranks of the best pipelines of the GSE6434 data set and the Sorafenib subset of the GSE33072 data set are 1.5, as two modeling pipelines yielded the exact same performance for the respective data set.