BLMA

DOI: 10.18129/B9.bioc.BLMA    

BLMA: A package for bi-level meta-analysis

Bioconductor version: Release (3.6)

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>

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	1.3.3
In Bioconductor since	BioC 3.5 (R-3.4) (1 year)
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.

Source Package	BLMA_1.3.3.tar.gz
Windows Binary	BLMA_1.3.3.zip
Mac OS X 10.11 (El Capitan)	BLMA_1.3.3.tgz
Source Repository	git clone https://git.bioconductor.org/packages/BLMA
Package Short Url	http://bioconductor.org/packages/BLMA/
Package Downloads Report	Download Stats
Old Source Packages for BioC 3.6	Source Archive