NDLI: Clustering of Gene Expression Data: Performance and Similarity Analysis

Content Provider	IEEE Xplore Digital Library
Author	Yin, L. Huang, C.-H.
Copyright Year	2006
Description	Author affiliation: Dept. of Comput. Sci. & Eng., Connecticut Univ., Storrs, CT (Yin, L.; Huang, C.-H.)
Abstract	Recent advances of the DNA microarray technology allow monitoring gene expression profiles of thousands of genes simultaneously. However, the analysis and handling of such fast growing data is becoming the major bottleneck in the utilization of the technology. Clustering analysis is one of the most effective methods for analyzing such gene expression data. In this paper we first experimentally study three major clustering algorithms: hierarchical clustering, self-organizing map (SOM), and self organizing tree algorithm (SOTA), using yeast saccharomyces cerevisiae gene expression data, and compare their performance. Then, we present a data mining tool, cluster diff, which allows the similarity analysis of clusters generated by different algorithms. A case study is conducted based on clusters generated by SOTA and SOM
Sponsorship	STEMES/IMSCCS Conference, USA The University of Iowa, USA Zhejing Univ., China Harbin Eng. Univ., China
Starting Page	142
Ending Page	149
File Size	420586
Page Count	8
File Format	PDF
ISBN	0769525814
DOI	10.1109/IMSCCS.2006.43
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-20
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Clustering methods Cluster Similarity Analysis Gene expression Data mining Microarray Chemical technology Organizing Fungi Performance study Clustering algorithms DNA Performance analysis
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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