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Conference Paper
Semi-Automated Clustering of Gene Expression Data Sets
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- Authors
- Min Ho Kim, Ho-Youl Jung, Myung Guen Chung, Po Ra Kim, Seon-Hee Park, Soo-Jun Park
- Issue Date
- 2007-08
- Citation
- International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS) 2007, pp.4625-4628
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- Clustering, as one of key analysis tools for gene expression data sets, attempts to discover groups of genes having similar expression patterns. In order to get a reasonable biological interpretation, it is desirable that a clustering result be accurate enough. However, conventional clustering methods do not always meet this demand since they require the exact tuning of input parameters and cluster centers for an acceptable quality of result Through an intuitive user interaction, UI-Cluster solves the problem mentioned above, and yields better clustering results. © 2007 IEEE.
- KSP Keywords
- Automated clustering, Biological interpretation, Cluster center, Clustering method, Data sets, Expression patterns, Gene Expression Data, Input parameters, Semi-Automated, User interaction, analysis tool