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Fuzzy biclustering for DNA microarray data analysis

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

Fuzzy biclustering analysis Is a useful tool for identifying relevant subsets of microarray data. This paper proposes a fuzzy biclustering clustering method for microarray data analysis. The method employs a combination of the Nelder-Mead and min-max algorithm to construct hierarchically structured biclustering. The method can automatically identify the groups of genes that show similar expression patterns under a specific subset of the samples. © 2008 IEEE.
Original languageEnglish
Title of host publicationIEEE International Conference on Fuzzy Systems
Pages1132-1138
DOIs
Publication statusPublished - 2008
Event2008 IEEE International Conference on Fuzzy Systems (FUZZ 2008) - Hong Kong, China
Duration: 1 Jun 20086 Jun 2008

Publication series

Name
ISSN (Print)1098-7584

Conference

Conference2008 IEEE International Conference on Fuzzy Systems (FUZZ 2008)
PlaceChina
CityHong Kong
Period1/06/086/06/08

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