CorrXpression – Identification of Significant Groups of Genes and Experiments by Means of Correspondence Analysis and Ratio Analysis

Article type: Research Article

Authors: Wessel, Ralf | Foos, Volker | Aspelmeier, Allan | Jürgens, Martin | Graessmann, Adolf | Klein, Andreas

Affiliations: Charité Berlin, Institute of Molecular Biology and Bioinformatics, D-14195 Berlin, Germany. URL: www.charite.de/molbiol/bioinf/tumbiol/

Note: [] Corresponding author. E-mail: [email protected]

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.

Keywords: Microarray, correspondence analysis, correspondence plot, principal component analysis, gene expression, database, breast cancer

Journal: In Silico Biology, vol. 6, no. 1-2, pp. 61-70, 2006