This method an effective way to aggregate multiple data types on a genome wide scale. Similarity Network Fusion uses many views of a network and fuses them to build an overall improved matrix. The learned status matrix can improve clustering, and classification.
Reference: Similarity network fusion for aggregating data types on a genomic scale. Nature Methods; 2014 Mar;11(3):333-7.