CorrXpression--identification of significant groups of genes and experiments by means of correspondence analysis and ratio analysis |
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Authors: | Wessel Ralf Foos Volker Aspelmeier Allan Jürgens Martin Graessmann Adolf Klein Andreas |
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Institution: | Charité Berlin, Institute of Molecular Biology and Bioinformatics, D-14195 Berlin, Germany. |
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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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