To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("dualKS")
In most cases, you don't need to download the package archive at all.
This package is for version 3.4 of Bioconductor; for the stable, up-to-date release version, see dualKS.
Bioconductor version: 3.4
This package implements a Kolmogorov Smirnov rank-sum based algorithm for training (i.e. discriminant analysis--identification of genes that discriminate between classes) and classification of gene expression data sets. One of the chief strengths of this approach is that it is amenable to the "multiclass" problem. That is, it can discriminate between more than 2 classes.
Author: Eric J. Kort, Yarong Yang
Maintainer: Eric J. Kort <ericjkort at gmail.com>, Yarong Yang <yarong.yang at ndsu.edu>
Citation (from within R,
enter citation("dualKS")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("dualKS")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("dualKS")
R Script | dualKS.pdf | |
Reference Manual |
biocViews | Classification, Microarray, Software |
Version | 1.34.0 |
In Bioconductor since | BioC 2.3 (R-2.8) (8.5 years) |
License | LGPL (>= 2.0) |
Depends | R (>= 2.6.0), Biobase(>= 1.15.0), affy, methods |
Imports | graphics |
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Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | dualKS_1.34.0.tar.gz |
Windows Binary | dualKS_1.34.0.zip |
Mac OS X 10.9 (Mavericks) | dualKS_1.34.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/dualKS/tree/release-3.4 |
Package Short Url | http://bioconductor.org/packages/dualKS/ |
Package Downloads Report | Download Stats |
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