 
  
 
   
   This package is for version 3.12 of Bioconductor; for the stable, up-to-date release version, see GSCA.
Bioconductor version: 3.12
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 (version "4.0") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")
BiocManager::install("GSCA")
    For older versions of R, please refer to the appropriate Bioconductor release.
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 | 2.20.0 | 
| In Bioconductor since | BioC 2.14 (R-3.1) (7 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 | |
| Links To Me | |
| Build Report | 
Follow Installation instructions to use this package in your R session.
| Source Package | GSCA_2.20.0.tar.gz | 
| Windows Binary | GSCA_2.20.0.zip | 
| macOS 10.13 (High Sierra) | GSCA_2.20.0.tgz | 
| Source Repository | git clone https://git.bioconductor.org/packages/GSCA | 
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/GSCA | 
| Package Short Url | https://bioconductor.org/packages/GSCA/ | 
| Package Downloads Report | Download Stats | 
 
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