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.
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Bioconductor version: Release (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")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("GSCA")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("GSCA")
R Script | GSCA | |
Reference Manual | ||
Text | NEWS |
biocViews | GUI, GeneExpression, Software, Visualization |
Version | 2.4.0 |
In Bioconductor since | BioC 2.14 (R-3.1) (3 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 |
Follow Installation instructions to use this package in your R session.
Package Source | GSCA_2.4.0.tar.gz |
Windows Binary | GSCA_2.4.0.zip |
Mac OS X 10.9 (Mavericks) | GSCA_2.4.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/GSCA/tree/release-3.4 |
Package Short Url | http://bioconductor.org/packages/GSCA/ |
Package Downloads Report | Download Stats |
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