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Article

KCRR: a nonlinear machine learning with a modified genomic similarity matrix improved the genomic prediction efficiency.

Briefings in bioinformatics - 5 Nov 2021

An Bingxing, Liang Mang, Chang Tianpeng, Duan Xinghai, Du Lili, Xu Lingyang, Zhang Lupei, Gao Xue, Li Junya, Gao Huijiang

Abstract excerpt

Nowadays, advances in high-throughput sequencing benefit the increasing application of genomic prediction (GP) in breeding programs. In this research, we designed a Cosine kernel-based KRR named KCRR to perform GP. This paper assessed the prediction accuracies of 12 traits with various heritability and genetic architectures from four populations using the genomic best linear unbiased prediction (GBLUP), BayesB,...

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PMID: 33963831
DOI: 10.1093/bib/bbab132

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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