Negative binomial mixed models for analyzing microbiome count data
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An omnibus test for differential distribution analysis of microbiome sequencing data.Experimental design and quantitative analysis of microbial community multiomics.A Bayesian Semiparametric Regression Model for Joint Analysis of Microbiome Data.Uncovering the drivers of host-associated microbiota with joint species distribution modelling.Measuring associations between the microbiota and repeated measures of continuous clinical variables using a lasso-penalized generalized linear mixed model.Fecal microbiota associated with phytohaemagglutinin-induced immune response in nestlings of a passerine bird
P2860
Negative binomial mixed models for analyzing microbiome count data
description
2017 nî lūn-bûn
@nan
2017 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2017 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2017年の論文
@ja
2017年論文
@yue
2017年論文
@zh-hant
2017年論文
@zh-hk
2017年論文
@zh-mo
2017年論文
@zh-tw
2017年论文
@wuu
name
Negative binomial mixed models for analyzing microbiome count data
@ast
Negative binomial mixed models for analyzing microbiome count data
@en
type
label
Negative binomial mixed models for analyzing microbiome count data
@ast
Negative binomial mixed models for analyzing microbiome count data
@en
prefLabel
Negative binomial mixed models for analyzing microbiome count data
@ast
Negative binomial mixed models for analyzing microbiome count data
@en
P2093
P2860
P1433
P1476
Negative binomial mixed models for analyzing microbiome count data
@en
P2093
Andrew K Benson
Nengjun Yi
Xiangqin Cui
Xinyan Zhang
Zaixiang Tang
P2860
P2888
P356
10.1186/S12859-016-1441-7
P577
2017-01-03T00:00:00Z