getNormalizationMethod-methods: Obtain normalization method

In rkuiper/geneClassifiers: Application of gene classifiers

Description

The function getNormalizationMethod returns the normalization method associated with the object

getNormalizationMethods returns a character vector of currenlty available normalization methods.

Usage

getNormalizationMethod(object)

getNormalizationMethods()

## S4 method for signature 'FixedExpressionData'
getNormalizationMethod(object)

## S4 method for signature 'ClassifierParameters'
getNormalizationMethod(object)

Arguments

object

An object of class FixedExpressionData or ClassifierParameters

Details

The given normlization methods can be used in the

Value

A character string indicating the normalization method.

See Also

getNormalizationMethods

Other classifier information functions: getCitations, getClassifier, getDecisionBoundaries, getDescription, getEventChain, getIntercept, getMeans, getProbeNames, getSds, getTrainingData, getWeights

Other fixed data information extraction functions: [,FixedExpressionData,ANY,ANY-method, dim,FixedExpressionData-method, getTargetValue

Other workflow functions: runClassifier, setNormalizationMethod, showClassifierList

Examples

data(exampleMAS5)
myData <- setNormalizationMethod(exampleMAS5, "MAS5.0", targetValue=500)
aClassifier <- getClassifier("EMC92")
getNormalizationMethod( myData )
getNormalizationMethod( aClassifier )
data(exampleMAS5)

showClassifierList()
getNormalizationMethods()

myData <- setNormalizationMethod(exampleMAS5, "MAS5.0",targetValue=500)
results <- runClassifier('UAMS70', myData)

getScores( results )
getClassifications( results )

rkuiper/geneClassifiers documentation built on July 15, 2019, 9:38 a.m.