JSM 2004 Online Program

Abstract #301020

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Activity Number:	114
Type:	Contributed
Date/Time:	Monday, August 9, 2004 : 10:30 AM to 12:20 PM
Sponsor:	ENAR
Abstract - #301020
Title:	Spectral Clustering of Microarray Data
Author(s):	David L. Tritchler*+ and Fallah Shafagh and Joseph Beyene
Companies:	Ontario Cancer Institute and University of Toronto and Hospital for Sick Kids
Address:	610 University Ave., Toronto, ON, M5G 2M9, Canada
Keywords:	clustering ; eigenanalysis ; DNA microarray
Abstract:	This paper introduces a clustering method motivated by a multivariate analysis of variance model and computationally based on eigenanalysis (thus the term "spectral" in the title). Our focus is on large problems, and we present the method in the context of clustering genes using microarray expression data. We provide a computational algorithm and discuss its time complexity. The method is extended to enable supervision by clinical information and the problem of specifying the number of clusters is discussed. A leukemia dataset is analyzed to demonstrate the use of the method.

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