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.
Sokolov et al. BMC Bioinformatics 2013 14(Suppl 3):S10 doi:10.1186/1471-2105-14-S3-S10