Validating Clustering for Gene Expression Data

Ka Yee Yeung, University of Washington Tacoma
D. R. Haynor
W. L. Ruzzo

Abstract

Abstract. Motivation: Many clustering algorithms have been proposed for the analysis of gene expression data, but little guidance is available to help choo