A matrix with 714 rows and 997 columns. Rows are features and columns are training samples.
Details
Each row corresponds to one copy number feature for all samples in the training set. Note that it includes
all features in the classifier. Note also that, depending on the data available and the type of matching
(gene or probe) only some of the features will be used.