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...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Lu Yang, Jun Chen
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	BMC 2022-08-01
Sarja:	Microbiome
Aiheet:	Microbiome Metagenomics Statistical methods Differential abundance analysis False discovery rate Compositional effects
Linkit:	https://doi.org/10.1186/s40168-022-01320-0
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