Analysis of gene expression data can help identify genes that reliably classify patients into groups corresponding to disease variants. This analysis can be difficult for researchers not formally trained in statistics. We describe our work toward the development of an algorithm that automates this analysis. The team explored methods such as principal component analysis, discriminant analysis, and the use of ratios of gene expression levels.