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[Application of gene-based logistic kernel-machine regression model on studies related to the genome-wide association].

Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi - 1 Jun 2013

Wo Hong-mei, Yi Hong-gang, Pan Hong-xing, Tang Shao-wen, Zhao Yang, Chen Feng

Abstract excerpt

To explore the gene-based logistic kernel-machine regression model and its application in genome-wide association study(GWAS). Using the simulated genome-wide single-nucleotide polymorphism(SNPs)genotypes data, we proposed a practical statistical analysis strategy-named 'the logistic kernel-machine regression model', based on the gene levels to assess the association between genetic variations and complex...

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PMID: 24125621

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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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