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Microarrays / Data mining / Geostatistics / Ridge / Hierarchical clustering / K-means clustering / Gene expression profiling / Feature selection / UPGMA / Statistics / Cluster analysis / Gene expression


PAPER IDENTIFICATION NUMBERAn Effective Dissimilarity Measure for Clustering Gene Expression Time Series Data
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Document Date: 2014-05-21 17:42:43

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City

Bethesda / Colorado Springs / /

Company

Pearson / Cambridge University Press / AAAI Press / Affymetrix / /

Country

United Kingdom / India / /

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Facility

Tezpur University / University of Colorado / /

IndustryTerm

typical partition-based clustering algorithm / neural networks / graph theoretic algorithms / forward feature selection algorithm / mining / data mining algorithms / computing / model-based algorithms / deterministic-annealing algorithm / /

Organization

Cambridge University / University of Colorado at Colorado / Department of Computer Science / Department of Computer Science & Engineering / Tezpur University / /

Person

Diffxi / /

ProvinceOrState

Maryland / M. B. / Assam / Colorado / Michigan / /

PublishedMedium

Journal of the Royal Statistical Society / Molecular Biology / /

Technology

EM-type algorithm / bioinformatics / deterministic-annealing algorithm / model-based algorithms / DNA Chip / typical partition-based clustering algorithm / Gene Expression / data mining algorithms / http / Data mining / Graph-based clustering algorithms / html / MI-based forward feature selection algorithm / using graph theoretic algorithms / graph-based algorithm / pdf / /

URL

www.cse.buffalo.edu/DBGROUP/bioinformatics / /

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