Learning gene networks underlying clinical phenotypes using SNP perturbation.

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Bibliographic Details
Title: Learning gene networks underlying clinical phenotypes using SNP perturbation.
Authors: McCarter C; Machine Learning Department, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA., Howrylak J; Pulmonary, Allergy and Critical Care Division, Penn State Milton S. Hershey Medical Center, Hershey, Pennsylvania, USA., Kim S; Computational Biology Department, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.
Source: PLoS computational biology [PLoS Comput Biol] 2020 Oct 23; Vol. 16 (10), pp. e1007940. Date of Electronic Publication: 2020 Oct 23 (Print Publication: 2020).
Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1553-7358
DOI:10.1371/journal.pcbi.1007940