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.
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")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("sigsquared")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("sigsquared")
R Script | SigSquared | |
Reference Manual |
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 |
Follow Installation instructions to use this package in your R session.
Source Package | 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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