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Volumn 411, Issue , 2006, Pages 194-213

[10] Clustering Microarray Data

(2)  Gollub, Jeremy a   Sherlock, Gavin a  

a NONE

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ANALYTIC METHOD; COMPUTER PROGRAM; DATA ANALYSIS; DNA MICROARRAY; GENE EXPRESSION; MATHEMATICAL ANALYSIS; MICROARRAY ANALYSIS; PRIORITY JOURNAL; REVIEW; ANIMAL; CLUSTER ANALYSIS; HUMAN; METHODOLOGY; STATISTICAL ANALYSIS; STATISTICS;

EID: 33747883251     PISSN: 00766879     EISSN: None     Source Type: Book Series    
DOI: 10.1016/S0076-6879(06)11010-1     Document Type: Review
Times cited : (39)

References (24)
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    • Judging the quality of gene expression-based clustering methods using gene annotation
    • Gibbons F.D., and Roth F.P. Judging the quality of gene expression-based clustering methods using gene annotation. Genome Res. 12 (2002) 1574-1581
    • (2002) Genome Res. , vol.12 , pp. 1574-1581
    • Gibbons, F.D.1    Roth, F.P.2
  • 10
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    • An examination of procedures for determining the number of clusters in a dataset
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    • Milligan, G.1    Cooper, M.2
  • 11
    • 33747885673 scopus 로고    scopus 로고
    • Bioconductor: An open source framework for bioinformatics and computational biology
    • Reimers M., and Carey V.J. Bioconductor: An open source framework for bioinformatics and computational biology. Methods Enzymol. 411 (2006) 119-134
    • (2006) Methods Enzymol. , vol.411 , pp. 119-134
    • Reimers, M.1    Carey, V.J.2
  • 14
    • 9444225935 scopus 로고    scopus 로고
    • Java Treeview: Extensible visualization of microarray data
    • Saldanha A.J. Java Treeview: Extensible visualization of microarray data. Bioinformatics 20 (2004) 3246-3248
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    • Saldanha, A.J.1
  • 16
    • 0036645183 scopus 로고    scopus 로고
    • Interactively exploring hierarchical clustering results
    • Seo J., and Shneiderman B. Interactively exploring hierarchical clustering results. IEEE Comput. 35 (2002) 80-86
    • (2002) IEEE Comput. , vol.35 , pp. 80-86
    • Seo, J.1    Shneiderman, B.2
  • 17
    • 0002663098 scopus 로고
    • SLINK: An optimally efficient algorithm for the single-link cluster method
    • Sibson R. SLINK: An optimally efficient algorithm for the single-link cluster method. Comput. J. 16 (1973) 30-34
    • (1973) Comput. J. , vol.16 , pp. 30-34
    • Sibson, R.1
  • 21
    • 0035532141 scopus 로고    scopus 로고
    • Estimating the number of clusters in a dataset via the Gap statistic
    • Tibshirani R., Walther G., and Hastie T. Estimating the number of clusters in a dataset via the Gap statistic. J. R. Stat. Sac. Ser. B. 63 (2000) 411-423
    • (2000) J. R. Stat. Sac. Ser. B. , vol.63 , pp. 411-423
    • Tibshirani, R.1    Walther, G.2    Hastie, T.3
  • 22
    • 0035942271 scopus 로고    scopus 로고
    • Significance analysis of microarrays applied to the ionizing radiation response
    • Tusher V.G., Tibshirani R., and Chu G. Significance analysis of microarrays applied to the ionizing radiation response. Proc. Natl. Acad. Sci. USA 98 (2001) 5116-5121
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    • Validating clustering for gene expression data
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    • Yeung, K.Y.1    Haynor, D.R.2    Ruzzo, W.L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.