Similarity network fusion for aggregating data types on a genomic scale View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2014-01-26

AUTHORS

Bo Wang, Aziz M Mezlini, Feyyaz Demir, Marc Fiume, Zhuowen Tu, Michael Brudno, Benjamin Haibe-Kains, Anna Goldenberg

ABSTRACT

Similarity network fusion (SNF) is an approach to integrate multiple data types on the basis of similarity between biological samples rather than individual measurements. The authors demonstrate SNF by constructing patient networks to identify disease subtypes with differential survival profiles.

PAGES

333-337

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/nmeth.2810

DOI

http://dx.doi.org/10.1038/nmeth.2810

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1014600221

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/24464287


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