Analysis of compositions of microbiomes with bias correction

Huang Lin; Shyamal Das Peddada

doi:10.1038/s41467-020-17041-7

Nature Communications (Jul 2020)

Analysis of compositions of microbiomes with bias correction

Huang Lin,
Shyamal Das Peddada

Affiliations

Huang Lin: Department of Biostatistics, University of Pittsburgh
Shyamal Das Peddada: Department of Biostatistics, University of Pittsburgh

DOI: https://doi.org/10.1038/s41467-020-17041-7
Journal volume & issue: Vol. 11, no. 1
pp. 1 – 11

Abstract

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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.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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