Cargando…
Multitrait Bayesian shrinkage and variable selection models with the BGLR-R package
The BGLR-R package implements various types of single-trait shrinkage/variable selection Bayesian regressions. The package was first released in 2014, since then it has become a software very often used in genomic studies. We recently develop functionality for multitrait models. The implementation a...
Autores principales: | Pérez-Rodríguez, Paulino, de los Campos, Gustavo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9434216/ https://www.ncbi.nlm.nih.gov/pubmed/35924977 http://dx.doi.org/10.1093/genetics/iyac112 |
Ejemplares similares
-
Genome-Wide Regression and Prediction with the BGLR Statistical Package
por: Pérez, Paulino, et al.
Publicado: (2014) -
Local genetic covariance between serum urate and kidney function estimated with Bayesian multitrait models
por: Lupi, Alexa S, et al.
Publicado: (2022) -
Bayesian multitrait kernel methods improve multienvironment genome-based prediction
por: Montesinos-López, Osval Antonio, et al.
Publicado: (2021) -
The L-shaped selection algorithm for multitrait genomic selection
por: Amini, Fatemeh, et al.
Publicado: (2022) -
Effectiveness of Shrinkage and Variable Selection Methods for the Prediction of Complex Human Traits using Data from Distantly Related Individuals
por: Berger, Swetlana, et al.
Publicado: (2015)