Fig. 1
From: Prioritization and functional assessment of noncoding variants associated with complex diseases
Flowchart of the PAFA approach. The flowchart contains the construction of the PAFA classifier and the gene-centric annotation. The PAFA classifier is based on sparse logistic regression with L1 regularization. We label the variants used in the training stage of PAFA as the functional and control sets. The features used in PAFA include three categories: population-level metrics, evolutionary conservation, and genomic annotations. Gene-centric annotation is based on curated genomic databases, including ENCODE and UTRdb