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