A two-part mixed-effects model for analyzing longitudinal microbiome compositional data.
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Negative binomial mixed models for analyzing microbiome count dataA generalized partially linear mean-covariance regression model for longitudinal proportional data, with applications to the analysis of quality of life data from cancer clinical trials.Two dynamic regimes in the human gut microbiomeInfluence of maternal breast milk ingestion on acquisition of the intestinal microbiome in preterm infants.Proteobacteria explain significant functional variability in the human gut microbiome.Opportunities and Challenges for Environmental Exposure Assessment in Population-Based Studies.A multivariate distance-based analytic framework for microbial interdependence association test in longitudinal study.An omnibus test for differential distribution analysis of microbiome sequencing data.Analysis of Microbiome Data in the Presence of Excess Zeros.Experimental design and quantitative analysis of microbial community multiomics.Processing and Analyzing Human Microbiome Data.Lactobacillus rhamnosus GG probiotic enteric regimen does not appreciably alter the gut microbiome or provide protection against GVHD after allogeneic hematopoietic stem cell transplantation.SplinectomeR Enables Group Comparisons in Longitudinal Microbiome Studies.Variance Component Selection With Applications to Microbiome Taxonomic Data.On the Use of Diversity Measures in Longitudinal Sequencing Studies of Microbial Communities.A Bayesian Semiparametric Regression Model for Joint Analysis of Microbiome Data.Measuring associations between the microbiota and repeated measures of continuous clinical variables using a lasso-penalized generalized linear mixed model.
P2860
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P2860
A two-part mixed-effects model for analyzing longitudinal microbiome compositional data.
description
2016 nî lūn-bûn
@nan
2016 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2016 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
name
A two-part mixed-effects model for analyzing longitudinal microbiome compositional data.
@ast
A two-part mixed-effects model for analyzing longitudinal microbiome compositional data.
@en
type
label
A two-part mixed-effects model for analyzing longitudinal microbiome compositional data.
@ast
A two-part mixed-effects model for analyzing longitudinal microbiome compositional data.
@en
prefLabel
A two-part mixed-effects model for analyzing longitudinal microbiome compositional data.
@ast
A two-part mixed-effects model for analyzing longitudinal microbiome compositional data.
@en
P2860
P356
P1433
P1476
A two-part mixed-effects model for analyzing longitudinal microbiome compositional data.
@en
P2093
Eric Z Chen
Hongzhe Li
P2860
P304
P356
10.1093/BIOINFORMATICS/BTW308
P407
P577
2016-05-14T00:00:00Z