getNormalizationMethod-methods: Obtain normalization method
In geneClassifiers: Application of gene classifiers

Description Usage Arguments Details Value See Also Examples

The function getNormalizationMethod returns the normalization method associated with the object

getNormalizationMethods returns a character vector of currenlty available normalization methods.

getNormalizationMethod(object)

getNormalizationMethods()

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

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

object

An object of class FixedExpressionData or ClassifierParameters

The given normlization methods can be used in the

A character string indicating the normalization method.

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

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 )