BLMA
BLMA: A package for bi-level meta-analysis
Bioconductor version: Release (3.20)
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("BLMA")
):
Installation
To install this package, start R (version "4.4") 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 | R Script | |
Reference Manual | ||
NEWS | Text |
Details
biocViews | DifferentialExpression, GeneSetEnrichment, Microarray, Pathways, Software |
Version | 1.30.0 |
In Bioconductor since | BioC 3.5 (R-3.4) (7.5 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_1.30.0.tar.gz |
Windows Binary (x86_64) | BLMA_1.30.0.zip (64-bit only) |
macOS Binary (x86_64) | BLMA_1.30.0.tgz |
macOS Binary (arm64) | BLMA_1.30.0.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 |