메뉴 건너뛰기




Volumn , Issue , 2004, Pages 436-447

Gene ontology friendly biclustering of expression profiles

Author keywords

Biclustering; Gene expression profiles; Gene Ontology; Tendency Preserving

Indexed keywords

ALGORITHMS; COMPUTER SCIENCE; CORRELATION METHODS; CYTOLOGY; DNA; GENES; MATHEMATICAL MODELS; METABOLISM; PROBABILITY; YEAST;

EID: 14044259360     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1016/j.bios.2004.03.030     Document Type: Conference Paper
Times cited : (39)

References (23)
  • 1
    • 0032728081 scopus 로고    scopus 로고
    • Clustering gene expression patterns
    • A. Ben-Dor, R.Shamir, and Z. Yakhini. Clustering gene expression patterns, in J Comput Biol 6(3-4):281-97.
    • J Comput Biol , vol.6 , Issue.3-4 , pp. 281-297
    • Ben-Dor, A.1    Shamir, R.2    Yakhini, Z.3
  • 3
    • 0036375743 scopus 로고    scopus 로고
    • Discovering local structure in gene expression data: The order-preserving submatrix problem
    • A. Ben-Dor, B. Chor, R.Karp, and Z.Yakhini. Discovering Local Structure in Gene Expression Data: The Order-Preserving Submatrix Problem. In RECOMB 2002.
    • RECOMB 2002
    • Ben-Dor, A.1    Chor, B.2    Karp, R.3    Yakhini, Z.4
  • 6
    • 0034566393 scopus 로고    scopus 로고
    • Biclustering of expression data
    • Y. Cheng and G. Church. Biclustering of expression data. In ISMB, 2000.
    • (2000) ISMB
    • Cheng, Y.1    Church, G.2
  • 7
    • 0032441150 scopus 로고    scopus 로고
    • Cluster analysis and display of genome-wide expression patterns
    • M.B.Eisen, P.T.Spellman, P.O.Brown, and D.Botstein. Cluster analysis and display of genome-wide expression patterns. In Proc Natl Acad Sci USA, 95(25): 14863-8, 1998.
    • (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
  • 8
    • 0038729567 scopus 로고    scopus 로고
    • Learning rule-based models of biological process from gene expression time profiles using Gene Ontology
    • T. R. Hvidsten, A. Lagreid and J. Komorowski. Learning rule-based models of biological process from gene expression time profiles using Gene Ontology. Bioinformatics, 2003.
    • (2003) Bioinformatics
    • Hvidsten, T.R.1    Lagreid, A.2    Komorowski, J.3
  • 9
    • 0034710876 scopus 로고    scopus 로고
    • Coupled two-way clustering analysis of gene microarray data
    • G. Getz, E. Levine and E. Domany. Coupled two-way clustering analysis of gene microarray data. Proc. Natl Acad. Sci. USA, 97, 12079-12084, 2000.
    • (2000) Proc. Natl Acad. Sci. USA , vol.97 , pp. 12079-12084
    • Getz, G.1    Levine, E.2    Domany, E.3
  • 12
    • 1342330530 scopus 로고    scopus 로고
    • A graphic-theoretic modeling on GO space for biological interpretation of gene clusters
    • S.G.Lee, J.U.Hur, and Y.S.Kim. A graphic-theoretic modeling on GO space for biological interpretation of gene clusters. Bioinformatics, 2004
    • (2004) Bioinformatics
    • Lee, S.G.1    Hur, J.U.2    Kim, Y.S.3
  • 13
    • 78149310670 scopus 로고    scopus 로고
    • Subspace clustering by tendency in high dimensional space
    • J.Liu and W.Wang. Subspace clustering by tendency in high dimensional space. In ICDM 2003.
    • ICDM 2003
    • Liu, J.1    Wang, W.2
  • 15
    • 11944262819 scopus 로고
    • Multiple hypothesis testing
    • J. P. Shaffer, Multiple Hypothesis Testing. Ann. Rev. Psych. 46, 561-584, 1995
    • (1995) Ann. Rev. Psych. , vol.46 , pp. 561-584
    • Shaffer, J.P.1
  • 16
    • 0034565041 scopus 로고    scopus 로고
    • Click: A clustering algorithm with applications to gene expression analysis
    • R. Sharan and R.Shamir. Click: A clustering algorithm with applications to gene expression analysis. In ISMB, pages 307-216, 2000
    • (2000) ISMB , pp. 307-1216
    • Sharan, R.1    Shamir, R.2
  • 17
    • 0034565168 scopus 로고    scopus 로고
    • Genes, themes and microarrays-using information retrieval for large-scale gene analysis
    • H. Shatkay, S. Edwards, W. Wilbur, and M. Boguski Genes, themes and microarrays-using information retrieval for large-scale gene analysis, In ISMB, 2000, pp 317-328.
    • (2000) ISMB , pp. 317-328
    • Shatkay, H.1    Edwards, S.2    Wilbur, W.3    Boguski, M.4
  • 18
    • 0034062083 scopus 로고    scopus 로고
    • Analysis of large-scale gene expression data
    • G. Sherlock. Analysis of large-scale gene expression data. Curr. Opin. Immunol., 12, 201-205
    • Curr. Opin. Immunol. , vol.12 , pp. 201-205
    • Sherlock, G.1
  • 20
    • 11244306358 scopus 로고    scopus 로고
    • Discovering statistically significant biclusters in gene expression data
    • A.Tanay, R. Sharan and R. Shamir. Discovering statistically significant biclusters in gene expression data. Bioinformatics, Vol.18, pages S136-S144, 2002.
    • (2002) Bioinformatics , vol.18
    • Tanay, A.1    Sharan, R.2    Shamir, R.3
  • 22
  • 23
    • 84860089888 scopus 로고    scopus 로고
    • Gene Ontology Consortium, www.geneontology.org.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.