The classification protocol starts with a feature selection step and continues with nearest-centroid classification. The accurarcy of the predictor can be evaluated using training and test set validation, leave-one-out cross-validation or in a multiple random validation protocol. Methods for calculation and visualization of continuous prediction scores allow to balance sensitivity and specificity and define a cutoff value according to clinical requirements.
|Author||Jan Budczies, Daniel Kosztyla|
|Bioconductor views||Cancer Classification Microarray Visualization|
|Maintainer||Daniel Kosztyla <[email protected]>|
|Package repository||View on GitHub|
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