dualKS

DOI: 10.18129/B9.bioc.dualKS    

This package is for version 3.13 of Bioconductor. This package has been removed from Bioconductor. For the last stable, up-to-date release version, see dualKS.

Dual KS Discriminant Analysis and Classification

Bioconductor version: 3.13

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")):

Installation

To install this package, start R (version "4.1") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("dualKS")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

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

browseVignettes("dualKS")

 

PDF R Script dualKS.pdf
PDF   Reference Manual

Details

biocViews Classification, Microarray, Software
Version 1.52.0
In Bioconductor since BioC 2.3 (R-2.8) (13 years)
License LGPL (>= 2.0)
Depends R (>= 2.6.0), Biobase(>= 1.15.0), affy, methods
Imports graphics
LinkingTo
Suggests
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

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

Source Package dualKS_1.52.0.tar.gz
Windows Binary dualKS_1.52.0.zip
macOS 10.13 (High Sierra) dualKS_1.52.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/dualKS
Source Repository (Developer Access) git clone [email protected]:packages/dualKS
Package Short Url https://bioconductor.org/packages/dualKS/
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