Last data update: 2014.03.03

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R Release (3.2.3)
CranContrib
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Classification

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o.rocc (Package: rocc) : LOOCV using the ROC based classifier

The function performs classification by leave-one-out-cross-validation (LOOCV) using the ROC based classifier: Features are combined to a metagene by the mean expression and samples are ranked according to the metagene expression. The metagene threshold that yields optimal accuracy in the training samples is then used to classify new samples according to their metagene expression values.
● Data Source: CranContrib
● Keywords: classif
● Alias: o.rocc
● 0 images

p.rocc (Package: rocc) :

Class predictions of new samples using a ROC based classifier obtained by tr.rocc()
● Data Source: CranContrib
● Keywords: classif
● Alias: p.rocc
● 0 images

tr.rocc (Package: rocc) :

The function establishes the ROC based classifier, returning the classifier specifications.
● Data Source: CranContrib
● Keywords: classif
● Alias: tr.rocc
● 0 images