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Combining explainable machine learning, demographic and multi-omic data to inform precision medicine strategies for inflammatory bowel disease.

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Title: Combining explainable machine learning, demographic and multi-omic data to inform precision medicine strategies for inflammatory bowel disease.
Authors: Gardiner LJ; IBM Research Europe-Daresbury, The Hartree Centre, Warrington, United Kingdom., Carrieri AP; IBM Research Europe-Daresbury, The Hartree Centre, Warrington, United Kingdom., Bingham K; REPROCELL Europe Ltd, Glasgow, Scotland, United Kingdom., Macluskie G; REPROCELL Europe Ltd, Glasgow, Scotland, United Kingdom., Bunton D; REPROCELL Europe Ltd, Glasgow, Scotland, United Kingdom., McNeil M; Precision Medicine Scotland Innovation Centre, Teaching and Learning Building, Queen Elizabeth University Hospital, Glasgow, Scotland, United Kingdom., Pyzer-Knapp EO; IBM Research Europe-Daresbury, The Hartree Centre, Warrington, United Kingdom.
Source: PloS one [PLoS One] 2022 Feb 23; Vol. 17 (2), pp. e0263248. Date of Electronic Publication: 2022 Feb 23 (Print Publication: 2022).
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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