Workshop on Data Mining for Genomics, First SIAM International Conference on Data Mining A Maximum Entropy Approach to Classifying Gene Array Data Sets

New technology such as DNA microarray can be used to determine simultaneously the expression levels of the thousands of genes which determine the function of all cells. Applying this technology to investigate the gene-level responses to different drug treatments could provide deep insight into the nature of many diseases as well as lead in the development of new drugs. In this paper, we present a maximum entropy approach to classifying gene array data sets. The experiments demonstrate the effectiveness of this approach.