Stepwise Classification of Cancer Samples using Clinical and Molecular Data

Documentation for package ‘stepwiseCM’ version 1.6.0

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.