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>

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