IMexpression            Infectious mononucleosis transcriptome
IMspecimen              Specimen features
MiBiClassGBODT          Binary classification using gradient boosting
                        over desicion trees
MiDataSample            Select matrix columns based on values of
                        attendant vector
MiFracData              Subset an expression matrix based on probe's
                        feature importance
MiInflCount             Mean microarray probes' feature importance from
                        binary classification
MiIntDepthAjust         Ajust maximum depth parameter for fitting
                        generalized boosted regression models
MiNTreesAjust           Ajust number of trees parameter for fitting
                        generalized boosted regression models
MiNorm                  Microarray data normalization
MiSelectSignif          Select biological markers with high fold change
                        and classification importance
MiShrinkAjust           Ajust learning rate parameter for fitting
                        generalized boosted regression modelsfor
                        fitting generalized boosted regression models
MiSpecimenSample        Select values from factor vector
MiStatCount             FDR for microarray gene expression data
MiSummarize             Microarray data summarization
