Computationally efficient whole-genome regression for quantitative and binary traits
2021/05/20 by Joelle Mbatchou, Leland Barnard, Joshua Backman +18 · 1,588 citations
Biochemistry, Genetics and Molecular Biology · Mathematics · #Artificial intelligence #Biobank #Biology #Computational biology #Computer science #Contrast (vision) #Genetic Associations and Epidemiology #Genetic Mapping and Diversity in Plants and Animals #Genetic and phenotypic traits in livestock #Genetics #Genome #Genome-wide association study #Genotype #Machine learning #Mathematics #Population #Regression #Regression analysis #Statistics
paper · pdf · doi:10.1038/s41588-021-00870-7
published in Nature Genetics 53(7), 1097-1103 (Nature Portfolio)
crossref issued 2021/05/20 · crossref published 2021/05/20 · crossref published-online 2021/05/20 · openalex publication_date 2021/05/20 · crossref created 2021/05/20 · crossref published-print 2021/07/01 · crossref deposited 2024/12/11 · openalex created_date 2025/10/10 · crossref indexed 2026/07/31 · openalex updated_date 2026/08/06
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