Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: The Local Maximum Clustering Method and Its Application in Microarray Gene Expression Data Analysis | EURASIP Journal on Applied Signal Processing 2004 1 53-63 2004 Hindawi Publishing Corporation The Local Maximum Clustering Method and Its Application in Microarray Gene Expression Data Analysis Xiongwu Wu Laboratory of Biophysical Chemistry National Heart Lung and Blood Institute National Institutes of Health Bethesda MD 20892 USA Email wuxw@ Yidong Chen National Human Genome Research Institute National Institutes of Health Bethesda MD 20892 USA Email yidong@ Bernard R. Brooks Laboratory of Biophysical Chemistry National Heart Lung and Blood Institute National Institutes of Health Bethesda MD 20892 USA Email brb@ Yan A. Su Department of Pathology Loyola University Medical Center Maywood IL 60153 USA Email ysu2@ Received 28 February 2003 Revised 25 July 2003 An unsupervised data clustering method called the local maximum clustering LMC method is proposed for identifying clusters in experiment data sets based on research interest. A magnitude property is defined according to research purposes and data sets are clustered around each local maximum of the magnitude property. By properly defining a magnitude property this method can overcome many difficulties in microarray data clustering such as reduced projection in similarities noises and arbitrary gene distribution. To critically evaluate the performance of this clustering method in comparison with other methods we designed three model data sets with known cluster distributions and applied the LMC method as well as the hierarchic clustering method the K-mean clustering method and the self-organized map method to these model data sets. The results show that the LMC method produces the most accurate clustering results. As an example of application we applied the method to cluster the leukemia samples reported in the microarray study of Golub et al. 1999 . Keywords and phrases data cluster clustering method microarray gene expression classification model data sets. 1. .
