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Article

Gene- or region-based association study via kernel principal component analysis.

BMC genetics - 26 Aug 2011

Gao Qingsong, He Yungang, Yuan Zhongshang, Zhao Jinghua, Zhang Bingbing, Xue Fuzhong

Abstract excerpt

BACKGROUND: In genetic association study, especially in GWAS, gene- or region-based methods have been more popular to detect the association between multiple SNPs and diseases (or traits). Kernel principal component analysis combined with logistic regression test (KPCA-LRT) has been successfully used in classifying gene expression data. Nevertheless, the purpose of association study is to detect the correlation...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 21871061
DOI: 10.1186/1471-2156-12-75
PMCID: PMC3176196

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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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