Tissue classification with gene expression profiles

Constantly improving gene expression profiling technologies are expected to provide understanding and insight into cancer related cellular processes. Gene expression data is also expected to significantly and in the development of efficient cancer diagnosis and classification platforms. In this work we examine two sets of gene expression data measured across sets of tumor and normal clinical samples One set consists of 2,000 genes, measured in 62 epithelial colon samples 1. The second consists of ≈ 100,000 clones, measured in 32 ovarian samples (unpublished, extension of data set described in 26).