show,assessment-method

show,thresholds-method

show,cvErrorRate-method

show,cvErrorRate2ndLayer-method

show,errorRate1stLayerCV-method

show,errorRate2ndLayerCV-method

show,finalClassifier-method

show,frequencyGenes-method

show,frequencyTopGenePerOneModel-method

show,geneSubsets-method

show,result2LayerCV-method

show,resultRepeated1LayerCV-method

show,resultRepeated2LayerCV-method

show,resultSingle1LayerCV-method

show,selectedGenes-method

show,selectedGenes1stLayerCV-method

show,selectedGenes2ndLayerCV-method

show,selectedGenesPerOneOption-method


Implementation of R method show to display object from package <code>Rmagpie</code>.


methods

show-methods

Microarray Classification is designed for both biologists and statisticians.
It offers the ability to train a classifier on a labelled microarray dataset and to then use
that classifier to predict the class of new observations. A range of modern classifiers are available, including
support vector machines (SVMs), nearest shrunken centroids (NSCs)... Advanced methods are provided to estimate
the predictive error rate and to report the  subset of genes which appear essential in discriminating between classes.

Camille Maumet

Rmagpie

MicroArray Gene-expression-based Program In Error rate estimation

show-methods function

Implementation of R method show to display object from package <code>Rmagpie</code>.

show Display the object, by printing, plotting or whatever suits its class

show-methods: show Display the object, by printing, plotting or whatever suits its class

Description

Arguments