Principal Component Analysis for Clustering Gene Expression Data

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

Abstract

Abstract. Motivation: There is a great need to develop analytical methodology to analyze and to exploit the information contained in gene expression data.