Figure 2.

A graphical synthesis of the diversity of computational models available for the prediction of drug responses. (A) List of data types most commonly used. (B) Categorization of models on the basis of the prediction problems addressed. (C) General hierarchy of statistical and machine learning techniques most commonly investigated. (D) Fundamental data sampling strategies for assessing model prediction capability.