Microarray Data Analysis
Binary classification using gradient boosting over desicion trees
Select matrix columns based on values of attendant vector
Subset an expression matrix based on probe's feature importance
Mean microarray probes' feature importance from binary classification
Ajust maximum depth parameter for fitting generalized boosted regressi...
Microarray data normalization
Ajust number of trees parameter for fitting generalized boosted regres...
Select biological markers with high fold change and classification imp...
Ajust learning rate parameter for fitting generalized boosted regressi...
Select values from factor vector
FDR for microarray gene expression data
Microarray data summarization
Set of functions designed to simplify transcriptome analysis and identification of marker molecules using microarrays data. The package includes a set of functions that allows performing full pipeline of analysis including data normalization, summarisation, binary classification, FDR (False Discovery Rate) multiple comparison and the definition of potential biological markers.