Package: GSCA 2.35.0

Zhicheng Ji

GSCA: GSCA: Gene Set Context Analysis

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.

Authors:Zhicheng Ji, Hongkai Ji

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NEWS

# Install 'GSCA' in R:
install.packages('GSCA', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • Oct4ESC_TG - Oct4 activated (+) and repressed (-) target genes in embryonic stem cells
  • STAT1_TG - STAT1 activated (+) target genes defined from experimental ChIP-seq data and literature survey.
  • geneIDdata - Homologene data

On BioConductor:GSCA-2.35.0(bioc 3.20)GSCA-2.34.0(bioc 3.19)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

bioconductor-package

7 exports 0.91 score 64 dependencies 40 mentions

Last updated 2 months agofrom:61085b0c37

Exports:annotatePeaksConstructTGGSCAGSCAedaGSCAplotGSCAuitabSearch

Dependencies:base64encbitopsbslibcachemcaToolsclicolorspacecommonmarkcrayondigestfansifarverfastmapfontawesomefsggplot2gluegplotsgtablegtoolshtmltoolshttpuvisobandjquerylibjsonliteKernSmoothlabelinglaterlatticelifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmepillarpkgconfigplyrpromisesR6rappdirsRColorBrewerRcppreshape2rhdf5rhdf5filtersRhdf5librlangsassscalesshinysourcetoolsspstringistringrtibbleutf8vctrsviridisLitewithrxtable

GSCA

Rendered fromGSCA.Rnwusingutils::Sweaveon Jun 30 2024.

Last update: 2015-12-08
Started: 2014-02-25