title: CorrXpression--identification of significant groups of genes and experiments by means of correspondence analysis and ratio analysis.
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.
authors.affiliation: Charité Berlin, Institute of Molecular Biology and Bioinformatics, D-14195 Berlin, Germany.
authors.forename: Ralf
authors.initials: R
authors.lastname: Wessel
authors.forename: Volker
authors.initials: V
authors.lastname: Foos
authors.forename: Allan
authors.initials: A
authors.lastname: Aspelmeier
authors.forename: Martin
authors.initials: M
authors.lastname: Jürgens
authors.forename: Adolf
authors.initials: A
authors.lastname: Graessmann
authors.forename: Andreas
authors.initials: A
authors.lastname: Klein
mesh_terms: D000818:Animals; D003198:Computer Simulation; D005260:Female; D020869:Gene Expression Profiling / Q000379:methods*; D051379:Mice; D046228:Microarray Analysis / Q000379:methods*; D012984:Software; D014584:User-Computer Interface