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

Nat Methods
Authors
Keywords
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.

Year of Publication
2018
Journal
Nat Methods
Volume
15
Issue
7
Pages
543-546
Date Published
2018 07
ISSN
1548-7105
DOI
10.1038/s41592-018-0039-6
PubMed ID
29915188
PubMed Central ID
PMC6450090
Links
Grant list
U24 CA160034 / CA / NCI NIH HHS / United States
R01 GM074024 / GM / NIGMS 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