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Volumn 18, Issue 5, 2002, Pages 725-734

Identifying good diagnostic gene groups from gene expression profiles using the concept of emerging patterns

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ACUTE GRANULOCYTIC LEUKEMIA; ACUTE LYMPHOBLASTIC LEUKEMIA; ALGORITHM; ARTICLE; CELL TYPE; COLON TUMOR; CONTROLLED STUDY; DIAGNOSTIC PROCEDURE; GENE CLUSTER; GENE EXPRESSION; GENE EXPRESSION PROFILING; GENE IDENTIFICATION; GENETIC PARAMETERS; GENETIC SELECTION; HUMAN; HUMAN CELL; METHODOLOGY; PRIORITY JOURNAL; TREATMENT PLANNING; TUMOR CELL;

EID: 0036083435     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/18.5.725     Document Type: Article
Times cited : (133)

References (20)
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    • 0005914748 scopus 로고    scopus 로고
    • Mining emerging patterns to construct accurate and efficient classifiers
    • PhD Thesis, Department of Computer Science and Software Engineering, The University of Melbourne, Australia
    • (2001)
    • Li, J.1
  • 12
    • 0001321006 scopus 로고    scopus 로고
    • The space of jumping emerging patterns and its incremental maintenance algorithms
    • Proceedings of the Seventeenth International Conference on Machine Learning, Stanford, CA. Morgan Kaufmann, San Francisco, CA
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    • Li, J.1    Ramamohanarao, K.2    Dong, G.3
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    • 10544256600 scopus 로고    scopus 로고
    • Expression monitoring by hybridization to high-density oligonucleotide arrays
    • (1996) Nature Biotech , vol.14 , pp. 1675-1680
    • Lockhart, D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.