Sparse bayesian learning for genomic selection in yeast

Sparse bayesian learning for genomic selection in yeast

Genomic selection, which predicts phenotypes such as yield and drought resistance in crops from high-density markers positioned throughout the genome of the varieties, is moving towards machine learning techniques to make predictions on complex traits that are controlled by several genes. In this pa...

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Bibliographic Details
Main Authors:	Maryam Ayat, Mike Domaratzki
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2022-08-01
Series:	Frontiers in Bioinformatics
Subjects:	genomic selection bayesian learning relevance vector machine machine learning kernel learning marker assisted selection
Online Access:	https://www.frontiersin.org/articles/10.3389/fbinf.2022.960889/full

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