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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
Volume15
Issue7
Pages543-546
Date Published2018 Jul
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
PubMed Central IDPMC6450090
Grant ListU24 CA160034 / CA / NCI NIH HHS / United States
R01 HL096738 / HL / NHLBI NIH HHS / United States
HHSN268201000033C / HL / NHLBI NIH HHS / United States
U01 DK078616 / DK / NIDDK NIH HHS / United States
P01 HD068250 / HD / NICHD NIH HHS / United States
R01 MH109903 / MH / NIMH NIH HHS / United States