Figure 6.
Predictive Ability of Combinations of Molecular Data Types
(A) Predictive performances of individual pan-cancer pharmacogenomic models using elastic net modeling and the indicated single data types. Selected outlier predictive models are labeled.
(B) The number of molecular data types included in the best-performing models (lead models) across the pan-cancer and cancer-specific analyses. The best-performing models use combinations of multiple data types. Absolute counts of best performing models are given.
(C) Absolute counts of lead models from the pan-cancer and cancer-specific analyses and the number of molecular data types used in the models.
(D) A heat map of the percentage of lead models identified in the pan-cancer and cancer-specific analyses incorporating different combinations of molecular data types.
(E) Absolute count of lead models identified in pan-cancer and cancer-specific analyses incorporating different combinations of molecular data types. Data types are ordered from most (top) to least (bottom) predictive in the cancer-specific analysis.