GeNets: a unified web platform for network-based genomic analyses.
Ontology highlight
ABSTRACT:
SUBMITTER: Li T
PROVIDER: S-EPMC6450090 | biostudies-literature | 2018 Jul
REPOSITORIES: biostudies-literature
Publications
GeNets: a unified web platform for network-based genomic analyses.
Li Taibo T Kim April A Rosenbluh Joseph J Horn Heiko H Greenfeld Liraz L An David D Zimmer Andrew A Liberzon Arthur A Bistline Jon J Natoli Ted T Li Yang Y Tsherniak Aviad A Narayan Rajiv R Subramanian Aravind A Liefeld Ted T Wong Bang B Thompson Dawn D Calvo Sarah S Carr Steve S Boehm Jesse J Jaffe Jake J Mesirov Jill J Hacohen Nir N Regev Aviv A Lage Kasper K
Nature methods 20180618 7
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. ...[more]
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