- Article -
| In Silico Biology 6, 0007 (2006); ©2006, Bioinformation Systems e.V. |
CorrXpression - identification of significant groups of genes and experiments by means of correspondence analysis and ratio analysis
Ralf Wessel, Volker Foos, Allan Aspelmeier, Martin Jürgens, Adolf Graessmann and Andreas Klein*
Charité Berlin, Institute of Molecular Biology and Bioinformatics, D-14195 Berlin, Germany
* Corresponding author
Email: andreas.klein@charite.de
Edited by E. Wingender; received November 10, 2005; revised January 20, 2006; accepted January 21, 2006; published February 04, 2006
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