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MegaLMM: Mega-scale linear mixed models for genomic predictions with thousands of traits.
Runcie, Daniel E; Qu, Jiayi; Cheng, Hao; Crawford, Lorin.
Affiliation
  • Runcie DE; Department of Plant Sciences, University of California Davis, Davis, CA, USA. deruncie@ucdavis.edu.
  • Qu J; Department of Plant Sciences, University of California Davis, Davis, CA, USA.
  • Cheng H; Department of Plant Sciences, University of California Davis, Davis, CA, USA.
  • Crawford L; Microsoft Research New England, Cambridge, MA, USA.
Genome Biol ; 22(1): 213, 2021 07 23.
Article in En | MEDLINE | ID: mdl-34301310
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Triticum / Software / Arabidopsis / Genome, Plant / Zea mays / Quantitative Trait, Heritable / Models, Genetic Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Genome Biol Journal subject: BIOLOGIA MOLECULAR / GENETICA Year: 2021 Document type: Article Affiliation country: Estados Unidos
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Triticum / Software / Arabidopsis / Genome, Plant / Zea mays / Quantitative Trait, Heritable / Models, Genetic Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Genome Biol Journal subject: BIOLOGIA MOLECULAR / GENETICA Year: 2021 Document type: Article Affiliation country: Estados Unidos