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Gene signature generation for functionally validated signaling pathways

Bioconductor version: Release (3.19)

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>

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


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

if (!require("BiocManager", quietly = TRUE))


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:

SigSquared PDF R Script
Reference Manual PDF


biocViews Software
Version 1.36.0
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
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Suggests RUnit, BiocGenerics
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Follow Installation instructions to use this package in your R session.

Source Package sigsquared_1.36.0.tar.gz
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macOS Binary (x86_64) sigsquared_1.36.0.tgz
macOS Binary (arm64) sigsquared_1.36.0.tgz
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