SLEMM: million-scale genomic predictions with window-based SNP weighting

MOTIVATION: The amount of genomic data is increasing exponentially. Using many genotyped and phenotyped individuals for genomic prediction is appealing yet challenging. RESULTS: We present SLEMM (short for Stochastic-Lanczos-Expedited Mixed Models), a new software tool, to address the computational...

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Detalles Bibliográficos
Autores principales: Cheng, Jian, Maltecca, Christian, VanRaden, Paul M, O'Connell, Jeffrey R, Ma, Li, Jiang, Jicai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10039786/
https://www.ncbi.nlm.nih.gov/pubmed/36897019
http://dx.doi.org/10.1093/bioinformatics/btad127

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10039786/
https://www.ncbi.nlm.nih.gov/pubmed/36897019
http://dx.doi.org/10.1093/bioinformatics/btad127

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