sigsquared

Gene signature generation for functionally validated signaling pathways


Bioconductor version: Release (3.20)

By leveraging statistical properties (log-rank test for survival) of patient cohorts defined by binary thresholds, poor-prognosis patients are identified by the sigsquared package via optimization over a cost function reducing type I and II error.

Author: UnJin Lee

Maintainer: UnJin Lee <unjin at uchicago.edu>

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

Installation

To install this package, start R (version "4.4") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("sigsquared")

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("sigsquared")
SigSquared PDF R Script
Reference Manual PDF

Details

biocViews Software
Version 1.38.0
In Bioconductor since BioC 3.1 (R-3.2) (9.5 years)
License GPL version 3
Depends R (>= 3.2.0), methods
Imports Biobase, survival
System Requirements
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Suggests RUnit, BiocGenerics
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package sigsquared_1.38.0.tar.gz
Windows Binary (x86_64) sigsquared_1.38.0.zip
macOS Binary (x86_64) sigsquared_1.38.0.tgz
macOS Binary (arm64) sigsquared_1.38.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/sigsquared
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/sigsquared
Bioc Package Browser https://code.bioconductor.org/browse/sigsquared/
Package Short Url https://bioconductor.org/packages/sigsquared/
Package Downloads Report Download Stats