Analysis of compositions of microbiomes with bias correction

Differential abundance analysis of microbiome data continues to be challenging due to data complexity. The authors propose a method which estimates the unknown sampling fractions and corrects the bias induced by their differences among samples.

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Auteurs principaux: Huang Lin, Shyamal Das Peddada
Format: article
Langue:EN
Publié: Nature Portfolio 2020
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Accès en ligne:https://doaj.org/article/3652022ed6a7403aa4db2996430cdd4c
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