Bioconductor Developer Survey 2026 Now Open!

BLMA

BLMA: A package for bi-level meta-analysis

Bioconductor version: 3.23 · Package version: 1.36.1

Other Bioconductor versions

devel is the development version; release is the current stable one.

3.24 (devel), 3.23 (release)

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.

DOI: 10.18129/B9.bioc.BLMA

Installation

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

BiocManager::install("BLMA")

Details

MaintainerVan-Dung Pham <dvp0001@wayne.edu>
AuthorTin Nguyen <tinn@auburn.edu>, Hung Nguyen <pzb00047@auburn.edu>, and Sorin Draghici <sorin@wayne.edu>
LicenseGPL (>=2)
Source branchRELEASE_3_23
Build report Bioconductor build system, r-universe
biocViewsDifferentialExpression, GeneSetEnrichment, Microarray, Pathways, Software
Package Short Url https://bioconductor.org/packages/BLMA/

Citation

From within R, enter citation("BLMA"):

Tin Nguyen, Hung Nguyen, and Sorin Draghici. BLMA: BLMA: A package for bi-level meta-analysis. doi:10.18129/B9.bioc.BLMA, R package version 1.36.1, https://bioconductor.org/packages/BLMA.

Generated from the package metadata; it may differ from the package's own citation.

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageBLMA_1.36.1.tar.gz
Windows binary (x86_64)BLMA_1.36.1.zip
macOS binary (arm64)BLMA_1.36.1.tgz
macOS binary (x86_64)BLMA_1.36.1.tgz
Dependencies

Depends: ROntoTools, GSA, PADOG, limma, graph, stats, utils, parallel, Biobase, metafor, methods

Suggests: RUnit, BiocGenerics