메뉴 건너뛰기




Volumn 27, Issue 8, 2011, Pages 1094-1100

Defining an informativeness metric for clustering gene expression data

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CLUSTER ANALYSIS; DNA MICROARRAY; EVALUATION; GENE EXPRESSION; GENE EXPRESSION PROFILING; HUMAN; METHODOLOGY; STATISTICAL ANALYSIS;

EID: 79954521574     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btr074     Document Type: Article
Times cited : (42)

References (16)
  • 1
    • 0016355478 scopus 로고
    • A new look at the statistical model identification
    • Akaike, H. (1974) A new look at the statistical model identification. IEEE Trans. Automat. Contr., 19, 716-723.
    • (1974) IEEE Trans. Automat. Contr. , vol.19 , pp. 716-723
    • Akaike, H.1
  • 2
    • 0037342510 scopus 로고    scopus 로고
    • Comparisons and validation of statistical clustering techniques for microarray gene expression data
    • Datta, S. and Datta, S. (2003) Comparisons and validation of statistical clustering techniques for microarray gene expression data. Bioinformatics, 19, 459-466.
    • (2003) Bioinformatics , vol.19 , pp. 459-466
    • Datta, S.1    Datta, S.2
  • 3
    • 33947363787 scopus 로고    scopus 로고
    • Evaluation of clustering algorithms for gene expression data
    • Datta, S. and Datta, S. (2006) Evaluation of clustering algorithms for gene expression data. BMC Bioinformatics, 7 (Suppl. 4), S17.
    • (2006) BMC Bioinformatics , vol.7 , Issue.SUPPL. 4
    • Datta, S.1    Datta, S.2
  • 4
    • 84941155240 scopus 로고
    • Well separated clusters and fuzzy partitions
    • Dunn, J. (1974) Well separated clusters and fuzzy partitions. J. Cybern., 4, 95-104.
    • (1974) J. Cybern. , vol.4 , pp. 95-104
    • Dunn, J.1
  • 5
    • 0032441150 scopus 로고    scopus 로고
    • Cluster analysis and display of genome-wide expression patterns
    • Eisen, M.B. et al. (1998) Cluster analysis and display of genome-wide expression patterns. Proc. Natl Acad. Sci. USA, 95, 14863-14868.
    • (1998) Proc. Natl Acad. Sci. USA , vol.95 , pp. 14863-14868
    • Eisen, M.B.1
  • 6
    • 0036798238 scopus 로고    scopus 로고
    • Judging the quality of gene expression-based clustering methods using gene annotation
    • Gibbons, F. and Roth, F. (2002) Judging the quality of gene expression-based clustering methods using gene annotation. Genome Res., 12, 1574-1581.
    • (2002) Genome Res. , vol.12 , pp. 1574-1581
    • Gibbons, F.1    Roth, F.2
  • 7
    • 25144456056 scopus 로고    scopus 로고
    • Computational cluster validation in post-genomic data analysis
    • Handl, J. et al. (2005) Computational cluster validation in post-genomic data analysis. Bioinformatics, 21, 3201-3212.
    • (2005) Bioinformatics , vol.21 , pp. 3201-3212
    • Handl, J.1
  • 8
    • 0033982936 scopus 로고    scopus 로고
    • KEGG: Kyoto Encyclopedia of Genes and Genomes
    • Kanehisa, M. and Goto, S. (2000) KEGG: Kyoto Encyclopedia of Genes and Genomes. Nucleic Acids Res., 28, 27-30.
    • (2000) Nucleic Acids Res. , vol.28 , pp. 27-30
    • Kanehisa, M.1    Goto, S.2
  • 9
    • 0036203115 scopus 로고    scopus 로고
    • A mixture model-based approach to the clustering of microarray expression data
    • McLachlan, G.J. et al. (2002) A mixture model-based approach to the clustering of microarray expression data. Bioinformatics, 18, 413-422.
    • (2002) Bioinformatics , vol.18 , pp. 413-422
    • McLachlan, G.J.1
  • 10
    • 0031616361 scopus 로고    scopus 로고
    • Cluster analysis and data visualization of large-scale gene expression data
    • Michaels, G.S. et al. (1998) Cluster analysis and data visualization of large-scale gene expression data. Pac. Symp. Biocomput., 42-53.
    • (1998) Pac. Symp. Biocomput. , pp. 42-53
    • Michaels, G.S.1
  • 11
    • 34250115918 scopus 로고
    • An examination of procedures for determining the number of clusters in a data set
    • Milligan, G. and Cooper, M. (1985) An examination of procedures for determining the number of clusters in a data set. Psychometrika, 50, 159-179.
    • (1985) Psychometrika , vol.50 , pp. 159-179
    • Milligan, G.1    Cooper, M.2
  • 12
    • 52149097555 scopus 로고    scopus 로고
    • Regulatory networks define phenotypic classes of human stem cell lines
    • Müller, F. et al. (2008) Regulatory networks define phenotypic classes of human stem cell lines. Nature, 455, 401-405.
    • (2008) Nature , vol.455 , pp. 401-405
    • Müller, F.1
  • 13
    • 0023453329 scopus 로고
    • Silhouettes: a graphical aid to the interpretation and validation of cluster analysis
    • Rousseeuw, P. (1987) Silhouettes: a graphical aid to the interpretation and validation of cluster analysis. J. Comput. Appl. Math., 20, 53-65.
    • (1987) J. Comput. Appl. Math. , vol.20 , pp. 53-65
    • Rousseeuw, P.1
  • 14
    • 0000120766 scopus 로고
    • Estimating the dimension of a model
    • Schwarz, G. (1978) Estimating the dimension of a model. Ann. Stat., 6, 461-464.
    • (1978) Ann. Stat. , vol.6 , pp. 461-464
    • Schwarz, G.1
  • 15
    • 0035532141 scopus 로고    scopus 로고
    • Estimating the number of clusters in a data set via the gap statistic
    • Tibshirani, R. et al. (2001) Estimating the number of clusters in a data set via the gap statistic. J. R. Stat. Soc. B, 63, 411-423.
    • (2001) J. R. Stat. Soc. B , vol.63 , pp. 411-423
    • Tibshirani, R.1
  • 16
    • 0035024021 scopus 로고    scopus 로고
    • Validating clustering for gene expression data
    • Yeung, K.Y. et al. (2001) Validating clustering for gene expression data. Bioinformatics, 17, 309-318.
    • (2001) Bioinformatics , vol.17 , pp. 309-318
    • Yeung, K.Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.