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Volumn 18, Issue 7, 2002, Pages 961-970

Deriving quantitative conclusion from microarray expression data

Author keywords

[No Author keywords available]

Indexed keywords

ACUTE GRANULOCYTIC LEUKEMIA; ACUTE LYMPHOBLASTIC LEUKEMIA; ANALYTIC METHOD; ARTICLE; B CELL LYMPHOMA; BREAST TUMOR; CLASSIFICATION; CONTROLLED STUDY; DATA ANALYSIS; DNA MICROARRAY; GENE EXPRESSION; GENE IDENTIFICATION; GENETIC ANALYSIS; HUMAN; MEDICAL TECHNOLOGY; PHENOTYPE; PREDICTION; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; STATISTICAL ANALYSIS; BIOLOGICAL MODEL; CLUSTER ANALYSIS; DATA BASE; DNA SEQUENCE; GENE EXPRESSION PROFILING; GENETICS; INFORMATION RETRIEVAL; INTERNET; LEUKEMIA; LYMPHOMA; METHODOLOGY; NUCLEIC ACID DATABASE; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL;

EID: 0035984265     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/18.7.961     Document Type: Article
Times cited : (50)

References (24)
  • 7
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    • Comparison of discrimination methods for the classification of tumors using gene expression data
    • To appear in JASA
    • (2001)
    • Dudoit, S.1    Fridlyand, J.2    Speed, T.3
  • 19
    • 0003516768 scopus 로고
    • Mathematical Statistics and Data Analysis
    • Wadsworth, Pacific Grove, CA
    • (1988)
    • Rice, J.1
  • 20
    • 84953405534 scopus 로고    scopus 로고
    • Pattern Recognition and Neural Networks
    • Cambridge University Press, Cambridge
    • (1996)
    • Ripley, B.D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.