Figure 2
From: Combining heterogeneous data sources for accurate functional annotation of proteins
The multi-view approach. Data is separated into two views: a cross-species view that contains features computed from sequence, and a species-specific view that contains features computed from PPIs, gene expression and protein-GO term co-mention in mouse. A separate classifier is trained on the data from each view; the multi-view classifier uses the sum of the two compatibility functions.