Editorial: Statistical methods, computing, and resources for genome-wide association studies, Volume II

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Bibliographic Details
Published inFrontiers in genetics Vol. 13; p. 1040022
Main Authors Han, Lide, Liu, Hailan, Kang, Guolian, Zhang, Min, Cheng, Riyan
Format Journal Article
LanguageEnglish
Published Frontiers Media S.A 20.10.2022
Subjects
binary phenotypes
gene-based testing
Genetics
genome-wide association studies (GWAS)
longitudinal phenotypes
sparse mixture-of-experts models
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This article was submitted to Statistical Genetics and Methodology, a section of the journal Frontiers in Frontiers in Genetics
Edited and reviewed by: Kesheng Wang, West Virginia University, United States
ISSN:1664-8021
1664-8021
DOI:10.3389/fgene.2022.1040022