Estimation of optimal number of biomarkers for two-group microarray based classifications at a given error tolerance level for various classification rules


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Documentation for package ‘optBiomarker’ version 1.0-20

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optBiomarker-package R package for estimating optimal number of biomarkers at a given error tolerance level for various classification rules
classificationError Estimation of misclassification errors (generalisation errors) based on statistical and various machine learning methods
errorDbase Database of leave-one-out cross validation errors for various combinations of data characteristics
optBiomarker R package for estimating optimal number of biomarkers at a given error tolerance level for various classification rules
optimiseBiomarker Estimates optimal number of biomarkers at a given error tolerance level for various classification rules
realBiomarker A set of 54359 median gene expressions in log (base 2) scale
simData Simulation of microarray data