Registration and Call for Abstracts Open for Bioc2024

BLMA

This is the development version of BLMA; for the stable release version, see BLMA.

BLMA: A package for bi-level meta-analysis


Bioconductor version: Development (3.19)

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 auburn.edu>, Hung Nguyen <pzb00047 at auburn.edu>, and Sorin Draghici <sorin at wayne.edu>

Maintainer: Van-Dung Pham <dvp0001 at auburn.edu>

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

Installation

To install this package, start R (version "4.4") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

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

Details

biocViews DifferentialExpression, GeneSetEnrichment, Microarray, Pathways, Software
Version 1.27.1
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
URL
See More
Suggests RUnit, BiocGenerics
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

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

Source Package BLMA_1.27.1.tar.gz
Windows Binary BLMA_1.27.1.zip (64-bit only)
macOS Binary (x86_64) BLMA_1.27.1.tgz
macOS Binary (arm64)
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