# Stepwise Classification of Cancer Samples using Clinical and Molecular Data

## Documentation for package ‘stepwiseCM’ version 1.4.0

- DESCRIPTION file.
- Overview of user guides and package vignettes; browse directory.

## Help Pages

stepwiseCM-package | Stepwise classification of cancer samples using both clinical and molecular Data.
Classifier | A function to predict the class labels of the test set.
Classifier.par | A function to obtain the predicted class labels of the test set using the parallel processing procedure.
CNS | Central Nervous System (CNS) cancer data set.
Curve.generator | A function to generate accuracy with different cut points .
Proximity | A function to calculate proximity matrix.
RS.generator | A function to generate reclassification score.
Step.pred | A function to calculate the RS for the test set and decide which samples should be classified with molecular data.
stepwiseCM | Stepwise classification of cancer samples using both clinical and molecular Data.