Methods for identifying differentially expressed genes by multivariate analysis of microaaray data

摘要

The present invention applies pattern recognition and multidimensional classification in statistical microarray data analysis. There are provided methods for identifying a subset of genes that are differentially expressed under a given biological state or at a given biological locale of interest by determining an advantageously large probability distance between the random vectors representing expression levels of the genes of interest. The invention also provides a cross-validated random search mechanism for a subset of genes based on various probability distances between two random vectors.