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BLMA

BLMA: A package for bi-level meta-analysis


Bioconductor version: Release (3.18)

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 "4.3") and enter:


if (!require("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")
BLMA PDF R Script
Reference Manual PDF
NEWS Text

Details

biocViews DifferentialExpression, GeneSetEnrichment, Microarray, Pathways, Software
Version 1.26.0
In Bioconductor since BioC 3.5 (R-3.4) (7 years)
License GPL (>=2)
Depends ROntoTools, GSA, PADOG, limma, graph, stats, utils, parallel, Biobase, metafor, methods
Imports
System Requirements
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Suggests RUnit, BiocGenerics
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Depends On Me
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Package Archives

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

Source Package BLMA_1.26.0.tar.gz
Windows Binary BLMA_1.26.0.zip (64-bit only)
macOS Binary (x86_64) BLMA_1.26.0.tgz
macOS Binary (arm64) BLMA_1.26.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/BLMA
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/BLMA
Bioc Package Browser https://code.bioconductor.org/browse/BLMA/
Package Short Url https://bioconductor.org/packages/BLMA/
Package Downloads Report Download Stats