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CorrXpression--identification of significant groups of genes and experiments by means of correspondence analysis and ratio analysis
Authors:Wessel Ralf  Foos Volker  Aspelmeier Allan  Jürgens Martin  Graessmann Adolf  Klein Andreas
Institution:Charité Berlin, Institute of Molecular Biology and Bioinformatics, D-14195 Berlin, Germany.
Abstract:CorrXpression is a stand-alone desktop application for the identification of significant genes within collections of microarrays. The software combines three methods in two steps of analysis: correspondence analysis (CA), ratio analysis and correlation analysis. The graphical interface of CorrXpression visualizes the result of the CA with a biplot and the expression of selected genes in dependency of the experiments as bar diagrams. The CA-plot is an excellent tool for visualization and evaluation of data and results of ratio analysis and correlation analysis. The input data are selected from a database or from appropriate ASCII files.
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