setNormalizationMethod-methods: Prepare data.

Description Usage Arguments Details Value See Also Examples

Description

setNormalizationMethod is to be called prior to running a classifier.

Usage

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setNormalizationMethod(expressionSet, method, ...)

Arguments

expressionSet

An object of class ExpressionSet containing the gene expression data.

method

A character string indicating the normalization that was applied to the data. Possible values are given by getNormalizationMethods().

...

see details.

Details

The FixedExpressionData class forms together with the ClassifierParameters class the basis for input to the runClassifier function. The data inside the FixedExpressionData-class has to be stored as it is right after normalization. This function may require some additional arguments:

Value

An object of class FixedExpressionData

See Also

Other workflow functions: getNormalizationMethod, runClassifier, showClassifierList

Examples

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data(exampleMAS5)
myData <- setNormalizationMethod(exampleMAS5, "MAS5.0",targetValue=500)
results <- runClassifier('EMC92', myData)
getScores( results )
getClassifications( results )

rkuiper/geneClassifiers documentation built on May 25, 2017, 4:15 a.m.