Figure 1.

Overview of TURF algorithm. TURF generic score predicts the probability of a query variant being functional in any tissue from the first random forest, which used features of functional genomics annotations from all available tissues. By further incorporating annotations from a given tissue, a tissue-specific prediction score is computed by multiplying generic score with the prediction score from a second random forest model.