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Volumn 7, Issue SUPPL.4, 2006, Pages

Evaluation of clustering algorithms for gene expression data

Author keywords

[No Author keywords available]

Indexed keywords

BETTER PERFORMANCE; EXPRESSION PROFILE; GENE EXPRESSION DATA; HIGH-DIMENSIONAL DATA ANALYSIS; MACHINE LEARNING LITERATURE; OPTIMAL ALGORITHM; SINGLE CLUSTERING ALGORITHMS; STATISTICAL CONSISTENCIES;

EID: 33947363787     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-7-S4-S17     Document Type: Article
Times cited : (40)

References (19)
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    • Datta, S.1    Datta, S.2
  • 4
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    • Rousseeuw, P.J.1
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  • 7
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    • Methods for evaluating clustering algorithms for gene expression data using a reference set of functional classes
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    • Datta, S.1    Datta, S.2
  • 14
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    • Scoring clustering solutions by their biological relevance
    • Gat-Viks I, Sharan R, Shamir R: Scoring clustering solutions by their biological relevance. Bioinformatics 2003, 19:2381-2389.
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    • An assessment of accuracy, error and conflict with support values from genome-scale phylogenetic data
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.