| getNormalizationMethod {geneClassifiers} | R Documentation |
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 |
The given normlization methods can be used in the
A character string indicating the normalization method.
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 )