Similarity Network Fusion
Similarity Network Fusion (SNF)
SNF is a novel computational method for genomic data integration that was developed by Wang et al., in the lab of Anna Goldenberg. SNF constructs patient similarity networks for each of the data types and in a second step iteratively integrates them until it converges to a final fused network. Here we present a Shiny web app for SNF, where a user has the ability to integrate various data types, adjust the parameters, view the results and download network files and group assignments