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sigsquared

This is the development version of sigsquared; for the stable release version, see sigsquared.

Gene signature generation for functionally validated signaling pathways

Bioconductor version: Development (3.18)

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 "4.3") and enter: 

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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

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 1.33.0
In Bioconductor since BioC 3.1 (R-3.2) (8.5 years)
License GPL version 3
Depends R (>= 3.2.0), methods
Imports Biobase, survival
Linking To
Suggests RUnit, BiocGenerics
System Requirements
Enhances
URL
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Depends On Me
Imports Me
Suggests Me
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Build Report  

Package Archives

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

Source Package sigsquared_1.33.0.tar.gz
Windows Binary sigsquared_1.33.0.zip (64-bit only)
macOS Binary (x86_64) sigsquared_1.33.0.tgz
macOS Binary (arm64) sigsquared_1.33.0.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