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cancerclass:Development and validation of diagnostic tests from high-dimensional molecular data
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.
Maintained by Daniel Kosztyla. Last updated 5 months ago.
cancermicroarrayclassificationvisualization
3.30 score 10 scripts