Ensemble learning for integrative prediction of genetic values with genomic variants

Ensemble learning for integrative prediction of genetic values with genomic variants

Abstract Background Whole genome variants offer sufficient information for genetic prediction of human disease risk, and prediction of animal and plant breeding values. Many sophisticated statistical methods have been developed for enhancing the predictive ability. However, each method has its own a...

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Bibliographic Details
Main Authors:	Lin-Lin Gu, Run-Qing Yang, Zhi-Yong Wang, Dan Jiang, Ming Fang
Format:	Article
Language:	English
Published:	BMC 2024-03-01
Series:	BMC Bioinformatics
Subjects:	Genomic prediction Genomic selection Ensemble learning Machine learning
Online Access:	https://doi.org/10.1186/s12859-024-05720-x

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