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Machine Learning Prediction of Non-Coding Variant Impact in Human Retinal cis-Regulatory Elements.

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Bibliographic Details
Title: Machine Learning Prediction of Non-Coding Variant Impact in Human Retinal cis-Regulatory Elements.
Authors: VandenBosch LS; Center for Developmental Biology and Regenerative Medicine, Seattle Children's Research Institute, Seattle, WA, USA., Luu K; Center for Developmental Biology and Regenerative Medicine, Seattle Children's Research Institute, Seattle, WA, USA., Timms AE; Center for Developmental Biology and Regenerative Medicine, Seattle Children's Research Institute, Seattle, WA, USA., Challam S; Center for Developmental Biology and Regenerative Medicine, Seattle Children's Research Institute, Seattle, WA, USA., Wu Y; University of Washington Department of Ophthalmology, Seattle, WA, USA., Lee AY; University of Washington Department of Ophthalmology, Seattle, WA, USA.; Brotman Baty Institute for Precision Medicine, Seattle, WA, USA., Cherry TJ; Center for Developmental Biology and Regenerative Medicine, Seattle Children's Research Institute, Seattle, WA, USA.; Brotman Baty Institute for Precision Medicine, Seattle, WA, USA.; University of Washington Department of Pediatrics, Seattle, WA, USA.
Source: Translational vision science & technology [Transl Vis Sci Technol] 2022 Apr 01; Vol. 11 (4), pp. 16.
Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Association for Research in Vision and Ophthalmology Country of Publication: United States NLM ID: 101595919 Publication Model: Print Cited Medium: Internet ISSN: 2164-2591 (Electronic) Linking ISSN: 21642591 NLM ISO Abbreviation: Transl Vis Sci Technol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2164-2591
DOI:10.1167/tvst.11.4.16