Integrative analysis of relative abundance data and presence-absence data of the microbiome using the LDM

被引:8
|
作者
Zhu, Zhengyi [1 ]
Satten, Glen A. [2 ]
Hu, Yi-Juan [1 ]
机构
[1] Emory Univ, Dept Biostat & Bioinformat, Atlanta, GA 30322 USA
[2] Emory Univ, Dept Gynecol & Obstet, Sch Med, Atlanta, GA 30322 USA
基金
美国国家卫生研究院;
关键词
D O I
10.1093/bioinformatics/btac181
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
We previously developed the LDM for testing hypotheses about the microbiome that performs the test at both the community level and the individual taxon level. The LDM can be applied to relative abundance data and presence-absence data separately, which work well when associated taxa are abundant and rare, respectively. Here, we propose LDM-omni3 that combines LDM analyses at the relative abundance and presence-absence data scales, thereby offering optimal power across scenarios with different association mechanisms. The new LDM-omni3 test is available for the wide range of data types and analyses that are supported by the LDM.
引用
收藏
页码:2915 / 2917
页数:3
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