To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("BLMA")
In most cases, you don't need to download the package archive at all.
BLMA
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BLMA: A package for bi-level meta-analysis
Bioconductor version: Release (3.5)
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>
Citation (from within R,
enter citation("BLMA")):
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")
| R Script | BLMA | |
| Reference Manual | ||
| Text | NEWS |
Details
| biocViews | DifferentialExpression, GeneSetEnrichment, Microarray, Pathways, Software |
| Version | 1.0.0 |
| In Bioconductor since | BioC 3.5 (R-3.4) (0.5 years) |
| 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_1.0.0.tar.gz |
| Windows Binary | BLMA_1.0.0.zip |
| Mac OS X 10.11 (El Capitan) | BLMA_1.0.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/BLMA |
| Package Short Url | http://bioconductor.org/packages/BLMA/ |
| Package Downloads Report | Download Stats |
Documentation »
Bioconductor
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Support »
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