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DeepNull models non-linear covariate effects to improve phenotypic prediction and association power.

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Title: DeepNull models non-linear covariate effects to improve phenotypic prediction and association power.
Authors: McCaw ZR; Google Health, Palo Alto, CA, USA., Colthurst T; Google Health, Cambridge, MA, USA., Yun T; Google Health, Cambridge, MA, USA., Furlotte NA; Google Health, Palo Alto, CA, USA., Carroll A; Google Health, Palo Alto, CA, USA., Alipanahi B; Google Health, Palo Alto, CA, USA., McLean CY; Google Health, Cambridge, MA, USA. cym@google.com., Hormozdiari F; Google Health, Cambridge, MA, USA. fhormoz@google.com.
Source: Nature communications [Nat Commun] 2022 Jan 11; Vol. 13 (1), pp. 241. Date of Electronic Publication: 2022 Jan 11.
Publication Type: Journal Article
Journal Info: Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101528555 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1723 (Electronic) Linking ISSN: 20411723 NLM ISO Abbreviation: Nat Commun Subsets: MEDLINE
Database: MEDLINE Ultimate
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