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A comprehensive evaluation of microbial differential abundance analysis methods: current status and potential solutions

Abstract Background Differential abundance analysis (DAA) is one central statistical task in microbiome data analysis. A robust and powerful DAA tool can help identify highly confident microbial candidates for further biological validation. Numerous DAA tools have been proposed in the past decade ad...

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Principais autores: Lu Yang, Jun Chen
Format: Artigo
Sprog:Inglês
Udgivet: BMC 2022-08-01
Serier:Microbiome
Fag:
Microbiome
Metagenomics
Statistical methods
Differential abundance analysis
False discovery rate
Compositional effects
Online adgang:https://doi.org/10.1186/s40168-022-01320-0
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