Detecting sparse microbial association signals adaptively from longitudinal microbiome data based on generalized estimating equations.

Sun, Han; Huang, Xiaoyun; Huo, Ban; Tan, Yuting; He, Tingting; Jiang, Xingpeng

Sun, Han; Huang, Xiaoyun; Huo, Ban; Tan, Yuting; He, Tingting; Jiang, Xingpeng.

Afiliação

Sun H; School of Mathematics and Statistics, Central China Normal University, Wuhan 430079, China.
Huang X; Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning, Central China Normal University, Wuhan 430079, China.
Huo B; Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning, Central China Normal University, Wuhan 430079, China.
Tan Y; Collaborative & Innovative Center for Educational Technology, Central China Normal University, Wuhan 430079, China.
He T; Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning, Central China Normal University, Wuhan 430079, China.
Jiang X; School of Computer, Central China Normal University, Wuhan 430079, China.

Brief Bioinform ; 23(5)2022 09 20.

Article em En | MEDLINE | ID: mdl-35561307

Assuntos

Doença de Crohn; Microbioma Gastrointestinal; Microbiota; Biomarcadores; Simulação por Computador; Doença de Crohn/genética; Microbioma Gastrointestinal/genética; Humanos; Modelos Estatísticos

Palavras-chave

generalized estimating equations; higher criticism; longitudinal microbiome data; microbiome-based association test; sparse microbial association signals

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doença de Crohn / Microbiota / Microbioma Gastrointestinal Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Brief Bioinform Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

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