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Volumn 5883 LNAI, Issue , 2009, Pages 426-435

Ontology-driven co-clustering of gene expression data

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVITY PATTERNS; BIOLOGICAL HYPOTHESIS; CO-CLUSTERING; CO-CLUSTERS; COMPUTATIONAL TECHNIQUE; DISTANCE METRICS; EXPERIMENTAL CONDITIONS; EXPRESSION LEVELS; GENE EXPRESSION DATA; GENE ONTOLOGY; HIGH-THROUGHPUT TECHNIQUE; SPECIFIC SUBSET;

EID: 78650698942     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-10291-2_43     Document Type: Conference Paper
Times cited : (4)

References (12)
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    • Eisen, M., Spellman, P., Botstein, P.B.D.: Cluster analysis and display of genomewide expression patterns. Proc. Natl. Acad. Sci. USA 95, 14863-14868 (1998)
    • (1998) Proc. Natl. Acad. Sci. USA , vol.95 , pp. 14863-14868
    • Eisen, M.1    Spellman, P.2    Botstein, P.B.D.3
  • 2
    • 3142768191 scopus 로고    scopus 로고
    • Biclustering algorithms for biological data analysis: A survey
    • Madeira, S., Oliveira, A.: Biclustering algorithms for biological data analysis: a survey. IEEE/ACM Trans Comput Biol Bioinform 1, 24-45 (2004)
    • (2004) IEEE/ACM Trans Comput Biol Bioinform , vol.1 , pp. 24-45
    • Madeira, S.1    Oliveira, A.2
  • 3
    • 0038014879 scopus 로고    scopus 로고
    • Co-clustering of biological networks and gene expression data
    • Hanisch, D., Zien, A., Zimmer, R., Lengauer, T.: Co-clustering of biological networks and gene expression data. Bioinformatics 18, S145-S154 (2002) (Pubitemid 41185648)
    • (2002) Bioinformatics , vol.18 , Issue.SUPPL. 1
    • Hanisch, D.1    Zien, A.2    Zimmer, R.3    Lengauer, T.4
  • 4
    • 4444310381 scopus 로고    scopus 로고
    • Hypothesis-driven approach to predict transcriptional units from gene expression data
    • DOI 10.1093/bioinformatics/bth182
    • Steinhauser, D., Junker, B., Luedemann, A., Selbig, J., Kopka, J.: Hypothesisdriven approach to predict transcriptional units from gene expression data. Bioinformatics 20, 1928-1939 (2004) (Pubitemid 39206253)
    • (2004) Bioinformatics , vol.20 , Issue.12 , pp. 1928-1939
    • Steinhauser, D.1    Junker, B.H.2    Luedemann, A.3    Selbig, J.4    Kopka, J.5
  • 5
    • 33847663266 scopus 로고    scopus 로고
    • Co-clustering and visualization of gene expression data and gene ontology terms for saccharomyces cerevisiae using self-organizing maps
    • Brameier, M., Wiuf, C.: Co-clustering and visualization of gene expression data and gene ontology terms for saccharomyces cerevisiae using self-organizing maps. J. Biomed. Inform. 40, 160-173 (2007)
    • (2007) J. Biomed. Inform. , vol.40 , pp. 160-173
    • Brameier, M.1    Wiuf, C.2
  • 6
    • 52649172731 scopus 로고    scopus 로고
    • Constrained co-clustering of gene expression data
    • Pensa, R., Boulicaut, J.: Constrained co-clustering of gene expression data. In: Proceedings of SIAM SDM, pp. 25-36 (2008)
    • (2008) Proceedings of SIAM SDM , pp. 25-36
    • Pensa, R.1    Boulicaut, J.2
  • 8
    • 0034069495 scopus 로고    scopus 로고
    • Gene ontology: Tool for the unification of biology. The gene ontology consortium
    • Ashburner, M., et al.: Gene ontology: tool for the unification of biology. the gene ontology consortium. Nat Genet. 25, 25-29 (2000)
    • (2000) Nat Genet. , vol.25 , pp. 25-29
    • Ashburner, M.1
  • 12
    • 0041965980 scopus 로고    scopus 로고
    • Cluster ensembles - A knowledge reuse framework for combining multiple partitions
    • Strehl, A., Ghosh, J.: Cluster ensembles - a knowledge reuse framework for combining multiple partitions. Journal of Machine Learning Research 3, 583-617 (2002)
    • (2002) Journal of Machine Learning Research , vol.3 , pp. 583-617
    • Strehl, A.1    Ghosh, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.