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|
|Date of publication||None|
|Maintainer||Eric J. Kort <firstname.lastname@example.org>, Yarong Yang <email@example.com>|
|License||LGPL (>= 2.0)|
class.DKSClassifier: Class to contain gene set signatures.
class.DKSGeneScores: Class to contain dual Kolmogorov Smirnov rank sum...
class.DKSGeneSet: Class to contain gene signatures.
class.DKSPredicted: Class to contain classification results from dksClassify
dks: A demonstration data set for package dualKS.
dksClassify: Predict classes for gene expression sets.
dksCustomClass: Create a classification object from predefined gene...
dksPerm: Estimate significance of signature scores.
dksSelectGenes: Extract gene signatures from a DKSGeneScores object.
dksTrain: Perform Dual KS Discriminant Analysis
dksWeights: Calculate gene weights based on average expression.
dualKS-package: Dual KS Discriminant Analysis and Classification
KS: Calculate Kolmogorov Smirnov rank sum scores.