LinDA: linear models for differential abundance analysis of microbiome compositional data.
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ABSTRACT:
SUBMITTER: Zhou H
PROVIDER: S-EPMC9012043 | biostudies-literature | 2022 Apr
REPOSITORIES: biostudies-literature
Publications
LinDA: linear models for differential abundance analysis of microbiome compositional data.
Zhou Huijuan H He Kejun K Chen Jun J Zhang Xianyang X
Genome biology 20220414 1
Differential abundance analysis is at the core of statistical analysis of microbiome data. The compositional nature of microbiome sequencing data makes false positive control challenging. Here, we show that the compositional effects can be addressed by a simple, yet highly flexible and scalable, approach. The proposed method, LinDA, only requires fitting linear regression models on the centered log-ratio transformed data, and correcting the bias due to compositional effects. We show that LinDA e ...[more]
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