Using human in vitro transcriptome analysis to build trustworthy machine learning models for prediction of animal drug toxicity.

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Bibliographic Details
Title: Using human in vitro transcriptome analysis to build trustworthy machine learning models for prediction of animal drug toxicity.
Authors: Gardiner LJ; IBM Research UK, Sci-Tech Daresbury, Warrington, UK. Laura-Jayne.Gardiner@ibm.com., Carrieri AP; IBM Research UK, Sci-Tech Daresbury, Warrington, UK., Wilshaw J; IBM Research UK, Sci-Tech Daresbury, Warrington, UK., Checkley S; STFC Daresbury Lab., Warrington, UK., Pyzer-Knapp EO; IBM Research UK, Sci-Tech Daresbury, Warrington, UK., Krishna R; IBM Research UK, Sci-Tech Daresbury, Warrington, UK. Ritesh.krishna@uk.ibm.com.
Source: Scientific reports [Sci Rep] 2020 Jun 12; Vol. 10 (1), pp. 9522. Date of Electronic Publication: 2020 Jun 12.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:2045-2322
DOI:10.1038/s41598-020-66481-0