NBZIMM: negative binomial and zero-inflated mixed models, with application to microbiome/metagenomics data analysis

NBZIMM: negative binomial and zero-inflated mixed models, with application to microbiome/metagenomics data analysis

Abstract Background Microbiome/metagenomic data have specific characteristics, including varying total sequence reads, over-dispersion, and zero-inflation, which require tailored analytic tools. Many microbiome/metagenomic studies follow a longitudinal design to collect samples, which further compli...

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Bibliographic Details
Main Authors: Xinyan Zhang, Nengjun Yi
Format: Article
Language:English
Published: BMC 2020-10-01
Series:BMC Bioinformatics
Subjects:
Microbiome
Metagenomics
NBZIMM
Negative binomial mixed models
Zero-inflated mixed models
Online Access:http://link.springer.com/article/10.1186/s12859-020-03803-z

Internet

http://link.springer.com/article/10.1186/s12859-020-03803-z

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