R: Estimation of Optimal Number of Biomarkers for Two-Group Microarray Based Classifications at a Given Error Tolerance Level for Various Classification Rules

# Estimation of Optimal Number of Biomarkers for Two-Group Microarray Based Classifications at a Given Error Tolerance Level for Various Classification Rules

## Documentation for package ‘optBiomarker’ version 1.0-28

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

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
classificationError.data.frame | Estimation of misclassification errors (generalisation errors) based on statistical and various machine learning methods
classificationError.default | 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