To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("GSCA")

In most cases, you don't need to download the package archive at all.

GSCA

 

   

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

GSCA: Gene Set Context Analysis

Bioconductor version: Development (3.4)

GSCA takes as input several lists of activated and repressed genes. GSCA then searches through a compendium of publicly available gene expression profiles for biological contexts that are enriched with a specified pattern of gene expression. GSCA provides both traditional R functions and interactive, user-friendly user interface.

Author: Zhicheng Ji, Hongkai Ji

Maintainer: Zhicheng Ji <zji4 at jhu.edu>

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

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("GSCA")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("GSCA")

 

PDF R Script GSCA
PDF   Reference Manual
Text   NEWS

Details

biocViews GUI, GeneExpression, Software, Visualization
Version 2.3.0
In Bioconductor since BioC 2.14 (R-3.1) (2 years)
License GPL(>=2)
Depends shiny, sp, gplots, ggplot2, reshape2, RColorBrewer, rhdf5, R (>= 2.10.0)
Imports graphics
LinkingTo
Suggests Affyhgu133aExpr, Affymoe4302Expr, Affyhgu133A2Expr, Affyhgu133Plus2Expr
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.

Package Source GSCA_2.3.0.tar.gz
Windows Binary GSCA_2.3.0.zip
Mac OS X 10.9 (Mavericks) GSCA_2.3.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/GSCA
Package Short Url http://bioconductor.org/packages/GSCA/
Package Downloads Report Download Stats

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