To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("BLMA")

In most cases, you don't need to download the package archive at all.

BLMA

DOI: 10.18129/B9.bioc.BLMA    

BLMA: A package for bi-level meta-analysis

Bioconductor version: Release (3.5)

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 <tin at wayne.edu> and Sorin Draghici <sorin at wayne.edu>

Maintainer: Tin Nguyen <tin at wayne.edu>

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

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("BLMA")

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 1.0.0
In Bioconductor since BioC 3.5 (R-3.4) (< 6 months)
License GPL (>=2)
Depends ROntoTools, GSA, PADOG, limma, graph, stats, utils, parallel, Biobase
Imports
LinkingTo
Suggests RUnit, BiocGenerics
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source BLMA_1.0.0.tar.gz
Windows Binary BLMA_1.0.0.zip
Mac OS X 10.11 (El Capitan) BLMA_1.0.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/BLMA
Package Short Url http://bioconductor.org/packages/BLMA/
Package Downloads Report Download Stats

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