GSCA
GSCA: Gene Set Context Analysis
Bioconductor version: Release (3.19)
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("GSCA")
):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("GSCA")
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("GSCA")
GSCA | R Script | |
Reference Manual | ||
NEWS | Text |
Details
biocViews | GUI, GeneExpression, Software, Visualization |
Version | 2.34.0 |
In Bioconductor since | BioC 2.14 (R-3.1) (10.5 years) |
License | GPL(>=2) |
Depends | shiny, sp, gplots, ggplot2, reshape2, RColorBrewer, rhdf5, R (>= 2.10.0) |
Imports | graphics |
System Requirements | |
URL |
See More
Suggests | Affyhgu133aExpr, Affymoe4302Expr, Affyhgu133A2Expr, Affyhgu133Plus2Expr |
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 | GSCA_2.34.0.tar.gz |
Windows Binary | GSCA_2.34.0.zip (64-bit only) |
macOS Binary (x86_64) | GSCA_2.34.0.tgz |
macOS Binary (arm64) | GSCA_2.34.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/GSCA |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/GSCA |
Bioc Package Browser | https://code.bioconductor.org/browse/GSCA/ |
Package Short Url | https://bioconductor.org/packages/GSCA/ |
Package Downloads Report | Download Stats |