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

This package is for version 3.4 of Bioconductor; for the stable, up-to-date release version, see sigsquared.

Gene signature generation for functionally validated signaling pathways

Bioconductor version: 3.4

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	1.6.0
In Bioconductor since	BioC 3.1 (R-3.2) (2 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_1.6.0.tar.gz
Windows Binary	sigsquared_1.6.0.zip
Mac OS X 10.9 (Mavericks)	sigsquared_1.6.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/sigsquared/tree/release-3.4
Package Short Url	http://bioconductor.org/packages/sigsquared/
Package Downloads Report	Download Stats

Documentation »

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