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Volumn 7, Issue , 2007, Pages 39-46

An ensemble method of discovering sample classes using gene expression profiling

Author keywords

Cluster analysis; Dissimilarity measure; Gene expression

Indexed keywords


EID: 84976518088     PISSN: 19316828     EISSN: 19316836     Source Type: Book Series    
DOI: 10.1007/978-0-387-69319-4_3     Document Type: Chapter
Times cited : (2)

References (11)
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    • 0037172724 scopus 로고    scopus 로고
    • A prediction based resampling method to estimate the number of clusters in a dataset
    • 0036. 1-0036. 21, 2002
    • S. Dudoit and J. Fridlyand. A prediction based resampling method to estimate the number of clusters in a dataset. Genome Biology, 3 (7): 0036. 1-0036. 21, 2002.
    • Genome Biology , vol.3 , Issue.7
    • Dudoit, S.1    Fridlyand, J.2
  • 6
    • 0036012363 scopus 로고    scopus 로고
    • Statistical issues in the clustering of gene expression data
    • D. R. Goldstein, D. Ghosh, and E. M. Conlon. Statistical issues in the clustering of gene expression data. Statistica Sinica, 12: 219-240, 2002.
    • (2002) Statistica Sinica , vol.12 , pp. 219-240
    • Goldstein, D.R.1    Ghosh, D.2    Conlon, E.M.3
  • 8
    • 0037620686 scopus 로고    scopus 로고
    • SamCluster: An integrated scheme for automatic discovery of sample classes using gene expression profile
    • W. Li, M. Fan, and M. Xiong. SamCluster: An integrated scheme for automatic discovery of sample classes using gene expression profile. Bioinformatics, 19 (7): 811-817, 2003.
    • (2003) Bioinformatics , vol.19 , Issue.7 , pp. 811-817
    • Li, W.1    Fan, M.2    Xiong, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.