To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("sigsquared")

In most cases, you don't need to download the package archive at all.

sigsquared

DOI: 10.18129/B9.bioc.sigsquared    

Gene signature generation for functionally validated signaling pathways

Bioconductor version: Release (3.5)

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 and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("sigsquared")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("sigsquared")

 

PDF R Script SigSquared
PDF   Reference Manual

Details

biocViews Software
Version 1.8.0
In Bioconductor since BioC 3.1 (R-3.2) (2.5 years)
License GPL version 3
Depends R (>= 3.2.0), methods
Imports Biobase, survival
LinkingTo
Suggests RUnit, BiocGenerics
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source sigsquared_1.8.0.tar.gz
Windows Binary sigsquared_1.8.0.zip
Mac OS X 10.11 (El Capitan) sigsquared_1.8.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/sigsquared
Package Short Url http://bioconductor.org/packages/sigsquared/
Package Downloads Report Download Stats

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