Confirmatory Results
Flexible multivariate linear mixed models for structured multiple traits
View ORCID ProfileHyeonju Kim, View ORCID ProfileGregory Farage, View ORCID ProfileJohn T. Lovell, John K. Mckay, Thomas E. Juenger, View ORCID ProfileŚaunak Sen
doi: https://doi.org/10.1101/2020.03.27.012690
Hyeonju Kim
1Division of Biostatistics, Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, Tennessee, USA
Gregory Farage
1Division of Biostatistics, Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, Tennessee, USA
John T. Lovell
2Genome Sequencing Center, HudsonAlpha Institute for Biotechnology, Huntsville, Alabama, USA
John K. Mckay
3Department of Bioagricultural Sciences and Graduate Degree Program in Ecology, Colorado State University, Fort Collins, Colorado, USA
Thomas E. Juenger
4Department of Integrative Biology, University of Texas, Austin, Texas, USA
Śaunak Sen
1Division of Biostatistics, Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, Tennessee, USA
Article usage
Posted February 22, 2021.
Flexible multivariate linear mixed models for structured multiple traits
Hyeonju Kim, Gregory Farage, John T. Lovell, John K. Mckay, Thomas E. Juenger, Śaunak Sen
bioRxiv 2020.03.27.012690; doi: https://doi.org/10.1101/2020.03.27.012690
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