BLMA

DOI:10.18129/B9.bioc.BLMA

This package is for version 3.11 of Bioconductor; for the stable, up-to-date release version, seeBLMA.

BLMA: A package for bi-level meta-analysis

Bioconductor version: 3.11

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 and Sorin Draghici

Maintainer: Tin Nguyen

Installation

To install this package, start R (version "4.0") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("BLMA")

For older versions of R, please refer to the appropriateBioconductor release.

Documentation

查看文档的版本包age installed in your system, start R and enter:

browseVignettes("BLMA")

PDF	R Script	BLMA
PDF		Reference Manual
Text		NEWS

Details

biocViews	DifferentialExpression,GeneSetEnrichment,Microarray,Pathways,Software
Version	1.12.0
In Bioconductor since	BioC 3.5 (R-3.4) (3.5 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	multiHiCcompare
Suggests Me
Links To Me
Build Report

Package Archives

Follow2021年欧洲杯比分预测 instructions to use this package in your R session.

Source Package	BLMA_1.12.0.tar.gz
Windows Binary	BLMA_1.12.0.zip
macOS 10.13 (High Sierra)	BLMA_1.12.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/BLMA
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/BLMA
Package Short Url	//www.andersvercelli.com/packages/BLMA/
Package Downloads Report	Download Stats