STS-BN: An efficient Bayesian network method for detecting causal SNPs.

Ma, Yanran; Fa, Botao; Yuan, Xin; Zhang, Yue; Yu, Zhangsheng

Ma, Yanran; Fa, Botao; Yuan, Xin; Zhang, Yue; Yu, Zhangsheng.

Affiliation

Ma Y; Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.
Fa B; Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Xi'an Jiaotong University, Xi'an, China.
Yuan X; Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.
Zhang Y; Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.
Yu Z; Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.

Front Genet ; 13: 942464, 2022.

Article de En | MEDLINE | ID: mdl-36186431

Mots clés

Bayesian network; GWAS; complex disease; epistasis; two-stage method

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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Prognostic_studies Langue: En Journal: Front Genet Année: 2022 Type de document: Article Pays d'affiliation: Chine Pays de publication: Suisse

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