Cargando…
A General-Purpose Machine Learning R Library for Sparse Kernels Methods With an Application for Genome-Based Prediction
The adoption of machine learning frameworks in areas beyond computer science have been facilitated by the development of user-friendly software tools that do not require an advanced understanding of computer programming. In this paper, we present a new package (sparse kernel methods, SKM) software d...
Autores principales: | Montesinos López, Osval Antonio, Mosqueda González, Brandon Alejandro, Palafox González, Abel, Montesinos López, Abelardo, Crossa, José |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9205295/ https://www.ncbi.nlm.nih.gov/pubmed/35719365 http://dx.doi.org/10.3389/fgene.2022.887643 |
Ejemplares similares
-
Statistical Machine-Learning Methods for Genomic Prediction Using the SKM Library
por: Montesinos López, Osval A., et al.
Publicado: (2023) -
A Comparison of Three Machine Learning Methods for Multivariate Genomic Prediction Using the Sparse Kernels Method (SKM) Library
por: Montesinos-López, Osval A., et al.
Publicado: (2022) -
Multi-trait genome prediction of new environments with partial least squares
por: Montesinos-López, Osval A., et al.
Publicado: (2022) -
A New Deep Learning Calibration Method Enhances Genome-Based Prediction of Continuous Crop Traits
por: Montesinos-López, Osval A., et al.
Publicado: (2021) -
A guide for kernel generalized regression methods for genomic-enabled prediction
por: Montesinos-López, Abelardo, et al.
Publicado: (2021)