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dualKS (version 1.32.0)

Dual KS Discriminant Analysis and Classification

Description

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.

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Version

Version

1.32.0

License

LGPL (>= 2.0)

Maintainer

Eric J Kort

Last Published

February 15th, 2017

Functions in dualKS (1.32.0)

dks

A demonstration data set for package dualKS.
dualKS-package

Dual KS Discriminant Analysis and Classification
dksClassify

Predict classes for gene expression sets.
DKSGeneSet

Class to contain gene signatures.
KS

Calculate Kolmogorov Smirnov rank sum scores.
dksSelectGenes

Extract gene signatures from a DKSGeneScores object.
DKSPredicted

Class to contain classification results from dksClassify
dksTrain

Perform Dual KS Discriminant Analysis
DKSGeneScores

Class to contain dual Kolmogorov Smirnov rank sum discriminant analysis results for gene expression data.
dksPerm

Estimate significance of signature scores.
dksCustomClass

Create a classification object from predefined gene signature.
dksWeights

Calculate gene weights based on average expression.
DKSClassifier

Class to contain gene set signatures.