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Nat Methods DOI:10.1038/s41592-018-0039-6

GeNets: a unified web platform for network-based genomic analyses.

Publication TypeJournal Article
Year of Publication2018
AuthorsLi, T, Kim, A, Rosenbluh, J, Horn, H, Greenfeld, L, An, D, Zimmer, A, Liberzon, A, Bistline, J, Natoli, T, Li, Y, Tsherniak, A, Narayan, R, Subramanian, A, Liefeld, T, Wong, B, Thompson, D, Calvo, S, Carr, S, Boehm, J, Jaffe, J, Mesirov, J, Hacohen, N, Regev, A, Lage, K
JournalNat Methods
Date Published2018 Jun 18
ISSN1548-7105
Abstract

Functional genomics networks are widely used to identify unexpected pathway relationships in large genomic datasets. However, it is challenging to compare the signal-to-noise ratios of different networks and to identify the optimal network with which to interpret a particular genetic dataset. We present GeNets, a platform in which users can train a machine-learning model (Quack) to carry out these comparisons and execute, store, and share analyses of genetic and RNA-sequencing datasets.

DOI10.1038/s41592-018-0039-6
Pubmed

http://www.ncbi.nlm.nih.gov/pubmed/29915188?dopt=Abstract

Alternate JournalNat. Methods
PubMed ID29915188