switchBox (version 1.6.0)

KTSP.Classifiy: Function to classify samples using a KTSP classifier.

Description

KTSP.Classify classifies new test samples using KTSP coming out of the function KTSP.Train. This function was used in Marchionni et al, 2013, BMC Genomics, and it is maintained only for backward compatibility. It has been replaced by SWAP.KTSP.Classify.

Usage

KTSP.Classify(data, classifier, combineFunc)

Arguments

data

the test data: a matrix in which the rows represent the genes and the columns the samples.

classifier

The output of KTSP.Train, a KTSP classifier.

combineFunc

A user defined function to combine the predictions of the individual K TSPs. If missing the consensus classification among the majority of the TSPs will be used.

References

See switchBox for the references.

See Also

KTSP.Train, SWAP.KTSP.Classify,

Examples

##################################################
### Load gene expression data for the training set
data(trainingData)

### Turn into a numeric vector with values equal to 0 and 1
trainingGroupNum <- as.numeric(trainingGroup) - 1

### Show group variable for the TRAINING set
table(trainingGroupNum)


##################################################
### Train a classifier using default filtering function based on the Wilcoxon test
classifier <- KTSP.Train(matTraining, trainingGroupNum, n=8)

### Show the classifier
classifier


##################################################
### Testing on new data

### Load the example data for the TEST set
data(testingData)

### Turn into a numeric vector with values equal to 0 and 1
testingGroupNum <- as.numeric(testingGroup) - 1

### Show group variable for the TEST set
table(testingGroupNum)

### Apply the classifier to one sample of the TEST set using
### sum of votes grearter than 2
testPrediction <- KTSP.Classify(matTesting, classifier,
     combineFunc = function(x) sum(x) < 2.5)

### Show prediction
table(testPrediction, testingGroupNum)