multiMiAT: an optimal microbiome-based association test for multicategory phenotypes

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成果类型：

期刊论文

作者：

Sun, Han;Wang, Yue;Xiao, Zhen;Huang, Xiaoyun;Wang, Haodong;...

通讯作者：

Xingpeng Jiang

作者机构：

[Wang, Haodong; Wang, Yue; Xiao, Zhen; Huang, Xiaoyun; He, Tingting; Jiang, Xingpeng; Sun, Han] Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning, Central China Normal University, Wuhan 430079, China

[Wang, Haodong; Wang, Yue; Xiao, Zhen; Huang, Xiaoyun; He, Tingting; Jiang, Xingpeng; Sun, Han] School of Computer Science, Central China Normal University, Wuhan 430079, China

[Xiao, Zhen; Sun, Han] School of Mathematics and Statistics, Central China Normal University, Wuhan 430079, China

[Huang, Xiaoyun] Collaborative & Innovative Center for Educational Technology, Central China Normal University, Wuhan 430079, China

[He, Tingting; Jiang, Xingpeng] National Language Resources Monitoring & Research Center for Network Media, Central China Normal University, Wuhan 430079, China

通讯机构：

[Xingpeng Jiang] H

Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning, Central China Normal University , Wuhan 430079 , China<&wdkj&>School of Computer Science, Central China Normal University , Wuhan 430079 , China<&wdkj&>National Language Resources Monitoring & Research Center for Network Media, Central China Normal University , Wuhan 430079 , China

语种：

英文

关键词：

Kernel machine regression;Microbiome-based association test;Multinomial logit model;Ordinal/Nominal multicategory phenotypes

期刊：

BRIEFINGS IN BIOINFORMATICS

ISSN：

1467-5463

年：

2023

卷：

期：

DOI：

10.1093/bib/bbad012

基金类别：

This research is supported by the National Natural Science Foundation of China (61872157 and 61932008), the Key Research and Development Program of Hubei Province (2020BAB017) and the Fundamental Research Funds for Central Universities (KJ02502022-0450).

机构署名：

本校为第一且通讯机构

院系归属：

数学与统计学学院

计算机学院

摘要：

AbstractMicrobes can affect the metabolism and immunity of human body incessantly, and the dysbiosis of human microbiome drives not only the occurrence but also the progression of disease (i.e. multiple statuses of disease). Recently, microbiome-based association tests have been widely developed to detect the association between the microbiome and host phenotype. However, the existing methods have not achieved satisfactory performance in testing the association between the microbiome and ordinal/nominal multicategory phenotypes (e.g. disease severity and tumor subtype). In this paper, we propo...

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multiMiAT: an optimal microbiome-based association test for multicategory phenotypes

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