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Volumn 10, Issue 3-4, 2003, Pages 373-384

Discovering Local Structure in Gene Expression Data: The Order-Preserving Submatrix Problem

Author keywords

Data analysis; Gene expression; Local pattern; Local structure; Non parametric methods

Indexed keywords

ALGORITHM; BREAST CANCER; CONFERENCE PAPER; DATA ANALYSIS; GENE CLUSTER; GENE EXPRESSION; ORDER PRESERVING MATRIX; PRIORITY JOURNAL; PROBABILITY; STOCHASTIC MODEL;

EID: 0242690489     PISSN: 10665277     EISSN: None     Source Type: Journal    
DOI: 10.1089/10665270360688075     Document Type: Conference Paper
Times cited : (325)

References (15)
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    • Bassett, D., Eisen, M., and Boguski, M. 1999. Gene expression it's all in your mine. Nature Genet. 21, 3-4.
    • (1999) Nature Genet. , vol.21 , pp. 3-4
    • Bassett, D.1    Eisen, M.2    Boguski, M.3
  • 4
    • 0032728081 scopus 로고    scopus 로고
    • Clustering gene expression patterns
    • Ben-Dor, A., Shamir, R., and Yakhini, Z. 1999. Clustering gene expression patterns. J. Comp. Biol. 6(3-4), 281-297.
    • (1999) J. Comp. Biol. , vol.6 , Issue.3-4 , pp. 281-297
    • Ben-Dor, A.1    Shamir, R.2    Yakhini, Z.3
  • 8
    • 0032441150 scopus 로고    scopus 로고
    • Cluster analysis and display of genome-wide expression patterns
    • Eisen, M.B., Spellman, P.T., Brown, P.O., and Botstein, D. 1998. Cluster analysis and display of genome-wide expression patterns. Proc. Natl. Acad. Sci. USA 95(25), 14863-14868.
    • (1998) Proc. Natl. Acad. Sci. USA , vol.95 , Issue.25 , pp. 14863-14868
    • Eisen, M.B.1    Spellman, P.T.2    Brown, P.O.3    Botstein, D.4
  • 9
    • 0034090939 scopus 로고    scopus 로고
    • Making the most of microarray data
    • Gaasterland, T., and Bekiranov, S. 2000. Making the most of microarray data. Nature Genet. 24(3), 204-206.
    • (2000) Nature Genet. , vol.24 , Issue.3 , pp. 204-206
    • Gaasterland, T.1    Bekiranov, S.2
  • 13
  • 14
  • 15
    • 34047125659 scopus 로고    scopus 로고
    • Cliff: Clustering of high-dimensional microarray data via iterative feature filtering using normalized cuts
    • Xing, E.P., and Karp, R.M. 2001. Cliff: Clustering of high-dimensional microarray data via iterative feature filtering using normalized cuts. Proc. 9th Int. Conf. Intelligent Systems for Molecular Biology.
    • (2001) Proc. 9th Int. Conf. Intelligent Systems for Molecular Biology
    • Xing, E.P.1    Karp, R.M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.