Development and evaluation of clustering algorithms for microarray data analyses

Abstract

In this dissertation project, clustering algorithms have been implemented and applied to DNA microarray data analysis. An efficient and robust software system called GeneSpy has been eventually developed. It provides many of the methods drawn from standard statistical cluster analysis. Presented to the user is a computational and graphical environment for clustering and classifying data from DNA microarray experiments.