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

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Network Fusion

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We would be happy to hear from your experience and for feedback, any issues/ suggestions on this, please contact us by email to Bertrand De Meulder at


SNF is offered to the public as freely available resources, for non-commercial use. We do not make any warranties about the completeness, reliability and accuracy of this information.


The authors would like to acknowledge the contributions of the IMI and EFPIA.