getNormalizationMethod {geneClassifiers} | R Documentation |
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-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 )