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Interpretable artificial neural networks incorporating Bayesian alphabet models for genome-wide prediction and association studies.
Zhao, Tianjing; Fernando, Rohan; Cheng, Hao.
Affiliation
  • Zhao T; Department of Animal Science, University of California Davis, Davis, CA 95616, USA.
  • Fernando R; Integrative Genetics and Genomics Graduate Group, University of California Davis, Davis, CA 95616, USA.
  • Cheng H; Department of Animal Science, Iowa State University, Ames, IA 50011, USA.
G3 (Bethesda) ; 11(10)2021 09 27.
Article in En | MEDLINE | ID: mdl-34499126
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Genome-Wide Association Study / Models, Genetic Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: G3 (Bethesda) Year: 2021 Document type: Article Affiliation country:
Fulltext
Add to My VHL
Print
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Genome-Wide Association Study / Models, Genetic Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: G3 (Bethesda) Year: 2021 Document type: Article Affiliation country: