BDMMAcorrect

DOI: 10.18129/B9.bioc.BDMMAcorrect    

Meta-analysis for the metagenomic read counts data from different cohorts

Bioconductor version: Release (3.8)

Metagenomic sequencing techniques enable quantitative analyses of the microbiome. However, combining the microbial data from these experiments is challenging due to the variations between experiments. The existing methods for correcting batch effects do not consider the interactions between variables—microbial taxa in microbial studies—and the overdispersion of the microbiome data. Therefore, they are not applicable to microbiome data. We develop a new method, Bayesian Dirichlet-multinomial regression meta-analysis (BDMMA), to simultaneously model the batch effects and detect the microbial taxa associated with phenotypes. BDMMA automatically models the dependence among microbial taxa and is robust to the high dimensionality of the microbiome and their association sparsity.

Author: ZHENWEI DAI <daizwhao at gmail.com>

Maintainer: ZHENWEI DAI <daizwhao at gmail.com>

Citation (from within R, enter citation("BDMMAcorrect")):

Installation

To install this package, start R (version "3.5") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")
BiocManager::install("BDMMAcorrect", version = "3.8")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("BDMMAcorrect")

 

PDF R Script BDMMAcorrect_user_guide
PDF   Reference Manual
Text   NEWS

Details

biocViews BatchEffect, Bayesian, Microbiome, Software
Version 1.0.0
License GPL (>= 2)
Depends R (>= 3.5), vegan, ellipse, ggplot2, ape, SummarizedExperiment
Imports Rcpp (>= 0.12.12), RcppArmadillo, RcppEigen, stats
LinkingTo Rcpp, RcppArmadillo, RcppEigen
Suggests knitr, rmarkdown, BiocGenerics
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
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Build Report  

Package Archives

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Source Package BDMMAcorrect_1.0.0.tar.gz
Windows Binary BDMMAcorrect_1.0.0.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan) BDMMAcorrect_1.0.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/BDMMAcorrect
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/BDMMAcorrect
Package Short Url http://bioconductor.org/packages/BDMMAcorrect/
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