GEA: a toolkit for gene expression analysis Jessica M. Phan and Raymond T. Ng   View Paper (PDF)   Return to Demonstrations Abstract Currently gene expression data are being produced at a phenomenal rate. The general objective is to try to gain a better understanding of the functions of cellular tissues. In particular, one specific goal is to relate gene expression to cancer diagnosis, prognosis and treatment. However, a key obstacle is that the availability of analysis tools or lack thereof, impedes the use of the data, making it difficult for cancer researchers to perform analysis efficiently and effectively. DiSC'03 © 2003 Association for Computing Machinery