Genomic Prediction of Breeding Values Using a Subset of SNPs Identified by Three Machine Learning Methods

Genomic Prediction of Breeding Values Using a Subset of SNPs Identified by Three Machine Learning Methods

The analysis of large genomic data is hampered by issues such as a small number of observations and a large number of predictive variables (commonly known as “large P small N”), high dimensionality or highly correlated data structures. Machine learning methods are renowned for dealing with these pro...

Full description

Bibliographic Details
Main Authors: Bo Li, Nanxi Zhang, You-Gan Wang, Andrew W. George, Antonio Reverter, Yutao Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-07-01
Series:Frontiers in Genetics
Subjects:
machine learning methods
single nucleotide polymorphisms
genomic prediction
breeding values
beef cattle
live weight
Online Access:https://www.frontiersin.org/article/10.3389/fgene.2018.00237/full

Internet

https://www.frontiersin.org/article/10.3389/fgene.2018.00237/full

Similar Items