To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("sscore")
In most cases, you don't need to download the package archive at all.
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Bioconductor version: Release (3.3)
This package contains an implementation of the S-Score algorithm as described by Zhang et al (2002).
Author: Richard Kennedy <rkennedy at ms.soph.uab.edu>, based on C++ code from Li Zhang <zhangli at odin.mdacc.tmc.edu> and Borland Delphi code from Robnet Kerns <rtkerns at vcu.edu>.
Maintainer: Richard Kennedy <rkennedy at ms.soph.uab.edu>
Citation (from within R,
enter citation("sscore")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("sscore")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("sscore")
R Script | SScore primer | |
Reference Manual |
biocViews | DifferentialExpression, Software |
Version | 1.44.0 |
In Bioconductor since | BioC 1.8 (R-2.3) (10.5 years) |
License | GPL (>= 2) |
Depends | R (>= 1.8.0), affy, affyio |
Imports | |
LinkingTo | |
Suggests | affydata |
SystemRequirements | |
Enhances | |
URL | http://home.att.net/~richard-kennedy/professional.html |
Depends On Me | |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | sscore_1.44.0.tar.gz |
Windows Binary | sscore_1.44.0.zip |
Mac OS X 10.9 (Mavericks) | sscore_1.44.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/sscore/tree/release-3.3 |
Package Short Url | http://bioconductor.org/packages/sscore/ |
Package Downloads Report | Download Stats |
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