Microarray Data Analysis

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Documentation for package ‘MiDA’ version 0.1.2

• DESCRIPTION file.

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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
MiNorm	Microarray data normalization
MiNTreesAjust	Ajust number of trees parameter for fitting generalized boosted regression models
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