Bayesian hierarchical negative binomial models for multivariable analyses with applications to human microbiome count data-Reference-Cited by-同舟云学术

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Bayesian hierarchical negative binomial models for multivariable analyses with applications to human microbiome count data

Published:2019-08-22 Issue:8 Volume:14 Page:e0220961
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Pendegraft Amanda H.,Guo Boyi,Yi Nengjun^ORCID

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference58 articles.

1. 'Ome sweet 'omics—A genealogical treasury of words;J Lederberg;The Scientist,2001

2. The human microbiome: at the interface of health and disease;I Cho;Nature Reviews Genetics,2012

3. Experimental and analytical tools for studying the human microbiome;J Kuczynski;Nature Reviews Genetics,2011

4. The NIH Human Microbiome Project;The NIH Working Group;Genome Research,2009

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A review of common methods used in the analysis of human microbiome sequencing data;F1000Research;2024-04-23

2. Testing latent class of subjects with structural zeros in negative binomial models with applications to gut microbiome data;Statistical Methods in Medical Research;2022-07-27

3. Diet Quality and the Gut Microbiota in Women Living in Alabama;American Journal of Preventive Medicine;2022-07

4. Modeling Microbial Community Networks: Methods and Tools;Current Genomics;2021-12-16

5. Some thoughts on counts in sequencing studies;NAR Genomics and Bioinformatics;2020-11-20

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