BLMA

DOI: 10.18129/B9.bioc.BLMA    

BLMA: A package for bi-level meta-analysis

Bioconductor version: Release (3.13)

Suit of tools for bi-level meta-analysis. The package can be used in a wide range of applications, including general hypothesis testings, differential expression analysis, functional analysis, and pathway analysis.

Author: Tin Nguyen <tinn at unr.edu>, Hung Nguyen <hungnp at nevada.unr.edu>, and Sorin Draghici <sorin at wayne.edu>

Maintainer: Hung Nguyen <hungnp at nevada.unr.edu>

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

Installation

To install this package, start R (version "4.1") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("BLMA")

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("BLMA")

 

PDF R Script BLMA
PDF   Reference Manual
Text   NEWS

Details

biocViews DifferentialExpression, GeneSetEnrichment, Microarray, Pathways, Software
Version 1.16.0
In Bioconductor since BioC 3.5 (R-3.4) (4.5 years)
License GPL (>=2)
Depends ROntoTools, GSA, PADOG, limma, graph, stats, utils, parallel, Biobase, metafor, methods
Imports
LinkingTo
Suggests RUnit, BiocGenerics
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package BLMA_1.16.0.tar.gz
Windows Binary BLMA_1.16.0.zip
macOS 10.13 (High Sierra) BLMA_1.16.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/BLMA
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/BLMA
Package Short Url https://bioconductor.org/packages/BLMA/
Package Downloads Report Download Stats

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