메뉴 건너뛰기




Volumn 2, Issue 4, 2005, Pages 316-329

Biclustering models for structured microarray data

Author keywords

Biclustering; Overlapping clustering; Partial supervision; Repeated measures; Three way data; Two way clustering

Indexed keywords

BICLUSTERING; OVERLAPPING CLUSTERING; PARTIAL SUPERVISION; REPEATED MEASURES; THREE-WAY DATA; TWO-WAY CLUSTERING;

EID: 30344446643     PISSN: 15455963     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCBB.2005.49     Document Type: Article
Times cited : (56)

References (28)
  • 2
    • 0036100113 scopus 로고    scopus 로고
    • Context-specific bayesian clustering for gene expression data
    • Y. Barash and N. Friedman, "Context-Specific Bayesian Clustering for Gene Expression Data," J. Computational Biology, vol. 9, no. 2, pp. 169-191, 2002.
    • (2002) J. Computational Biology , vol.9 , Issue.2 , pp. 169-191
    • Barash, Y.1    Friedman, N.2
  • 5
    • 21844501665 scopus 로고
    • An alternating combinatorial optimization approach to fitting the INDCLUS and generalized INDCLUS models
    • A. Chaturvedi and J.D. Carroll, "An Alternating Combinatorial Optimization Approach to Fitting the INDCLUS and Generalized INDCLUS Models," J. Classification, vol. 11, no. 2, pp. 155-170, 1994
    • (1994) J. Classification , vol.11 , Issue.2 , pp. 155-170
    • Chaturvedi, A.1    Carroll, J.D.2
  • 7
    • 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. Nat'l Academy of Science USA, vol. 97, no. 22, pp. 12079-12084, 2000.
    • (2000) Proc. Nat'l Academy of Science USA , vol.97 , Issue.22 , pp. 12079-12084
    • Getz, G.1    Levine, E.2    Domany, E.3
  • 9
    • 84888808130 scopus 로고    scopus 로고
    • A quantitative study of gene regulation involved in the immune response of anopheline mosquitos: An application of bayesian hierarchical clustering of curves
    • to appear
    • N.A. Heard, C.C. Holmes, and D.A. Stephens, "A Quantitative Study of Gene Regulation Involved in the Immune Response of Anopheline Mosquitos: An Application of Bayesian Hierarchical Clustering of Curves," J. Am. Statistical Assoc., to appear.
    • J. Am. Statistical Assoc.
    • Heard, N.A.1    Holmes, C.C.2    Stephens, D.A.3
  • 10
    • 0036699526 scopus 로고    scopus 로고
    • Revealing modular organization in the yeast transcriptional network
    • J. Ihmels, G. Friedlander, S. Bergmann, O. Sarig, Y. Ziv, and N. Barkai, "Revealing Modular Organization in the Yeast Transcriptional Network, " Natural Genetics, vol. 31, no. 4, pp. 370-377, 2002.
    • (2002) Natural Genetics , vol.31 , Issue.4 , pp. 370-377
    • Ihmels, J.1    Friedlander, G.2    Bergmann, S.3    Sarig, O.4    Ziv, Y.5    Barkai, N.6
  • 11
    • 0033823535 scopus 로고    scopus 로고
    • Evaluation of human antimycobacterial immunity using recombinant reporter mycobacteria
    • B. Kampmann, P.Ó. Gaora, V.A. Snewin, M.-P. Gares, D.B. Young, and M. Levin, "Evaluation of Human Antimycobacterial Immunity Using Recombinant Reporter Mycobacteria," J. Infectious Diseases, vol. 182, no. 3, pp. 895-901, 2000.
    • (2000) J. Infectious Diseases , vol.182 , Issue.3 , pp. 895-901
    • Kampmann, B.1    Gaora, P.Ó.2    Snewin, V.A.3    Gares, M.-P.4    Young, D.B.5    Levin, M.6
  • 12
    • 0036012349 scopus 로고    scopus 로고
    • Plaid models for gene expression data
    • L. Lazzeroni and A. Owen, "Plaid Models for Gene Expression Data," Statistical Sinica, vol. 12, no. 1, pp. 61-86, 2002.
    • (2002) Statistical Sinica , vol.12 , Issue.1 , pp. 61-86
    • Lazzeroni, L.1    Owen, A.2
  • 13
    • 0037339264 scopus 로고    scopus 로고
    • Clustering of time-course gene expression data using a mixed-effects model with b-splines
    • Y. Luan and H. Li, "Clustering of Time-Course Gene Expression Data Using a Mixed-Effects Model with B-Splines," Bioinformatics, vol. 19, no. 4, pp. 474-482, 2003.
    • (2003) Bioinformatics , vol.19 , Issue.4 , pp. 474-482
    • Luan, Y.1    Li, H.2
  • 14
    • 0036203115 scopus 로고    scopus 로고
    • A mixture model-based approach to the clustering of microarray expression data
    • G.J. McLachlan, R.W. Bean, and D. Peel, "A Mixture Model-Based Approach to the Clustering of Microarray Expression Data," Bioinformatics, vol. 18, no. 3, pp. 413-422, 2002.
    • (2002) Bioinformatics , vol.18 , Issue.3 , pp. 413-422
    • McLachlan, G.J.1    Bean, R.W.2    Peel, D.3
  • 15
    • 45749152409 scopus 로고    scopus 로고
    • A.B. Owen Plaid™ Software, http://www-stat.stanford.edu/~owen/clickwrap/plaid.html, 2005.
    • (2005) Software
    • Owen Plaid, A.B.1
  • 16
    • 0042024906 scopus 로고    scopus 로고
    • A gene recommender algorithm to identify coexpressed genes in C. elegans
    • A.B. Owen, J. Stuart, K. Mach, A.M. Villeneuve, and S. Kim, "A Gene Recommender Algorithm to Identify Coexpressed Genes in C. Elegans," Genome Research, vol. 13, no. 8, pp. 1828-1837, 2003.
    • (2003) Genome Research , vol.13 , Issue.8 , pp. 1828-1837
    • Owen, A.B.1    Stuart, J.2    Mach, K.3    Villeneuve, A.M.4    Kim, S.5
  • 17
    • 0036129820 scopus 로고    scopus 로고
    • Statistical inference for simultaneous clustering of gene expression data
    • K.S. Pollard and M.J. van der Laan, "Statistical Inference for Simultaneous Clustering of Gene Expression Data," Math. Bioscience, vol. 176, no. 1, pp. 99-121, 2002.
    • (2002) Math. Bioscience , vol.176 , Issue.1 , pp. 99-121
    • Pollard, K.S.1    Van Der Laan, M.J.2
  • 18
    • 84888807758 scopus 로고    scopus 로고
    • The clustering of regression models method with applications in gene expression data
    • UW Biostatistics, Univ. Washington
    • L.-X. Qin and S.G. Self, "The Clustering of Regression Models Method with Applications in Gene Expression Data," Technical Report 239, UW Biostatistics, Univ. Washington, http://www.bepress.com/uwbiostat/paper239, 2005.
    • (2005) Technical Report , vol.239
    • Qin, L.-X.1    Self, S.G.2
  • 19
    • 28444445926 scopus 로고    scopus 로고
    • R Foundation for Statistical Computing, Vienna, Austria
    • R Development Core Team, "R: A Language and Environment for Statistical Computing," R Foundation for Statistical Computing, Vienna, Austria, 2005.
    • (2005) R: A Language and Environment for Statistical Computing
  • 21
    • 6944244084 scopus 로고    scopus 로고
    • A module map showing conditional activity of expression modules in cancer
    • E. Segal, N. Friedman, D. Koller, and A. Regev, "A Module Map Showing Conditional Activity of Expression Modules in Cancer," Natural Genetics, vol. 36, no. 10, pp. 1090-1098, 2004.
    • (2004) Natural Genetics , vol.36 , Issue.10 , pp. 1090-1098
    • Segal, E.1    Friedman, N.2    Koller, D.3    Regev, A.4
  • 23
    • 4444367133 scopus 로고    scopus 로고
    • Biclustering microarray data by gibbs sampling
    • Q. Sheng, Y. Moreau, and B. De Moor, "Biclustering Microarray Data by Gibbs Sampling," Bioinformatics, vol. 19, no. 2, pp. ii196-ii205, 2003.
    • (2003) Bioinformatics , vol.19 , Issue.2
    • Sheng, Q.1    Moreau, Y.2    De Moor, B.3
  • 24
    • 11244306358 scopus 로고    scopus 로고
    • Discovering statistically significant biclusters in gene expression data
    • no. 90001
    • A. Tanay, R. Sharan, and R. Shamir, "Discovering Statistically Significant Biclusters in Gene Expression Data," Bioinfornmtics, vol. 18, no. 90001, pp. S136-S144, 2002.
    • (2002) Bioinfornmtics , vol.18
    • Tanay, A.1    Sharan, R.2    Shamir, R.3
  • 26
    • 9944260282 scopus 로고    scopus 로고
    • Improved biclustering of microarray data demonstrated through systematic performance tests
    • H. Turner, T. Bailey, and W. Krzanowski, "Improved Biclustering of Microarray Data Demonstrated Through Systematic Performance Tests," Computer Statistics Data Analysis, vol. 48, no. 2, pp. 235-254, 2005.
    • (2005) Computer Statistics Data Analysis , vol.48 , Issue.2 , pp. 235-254
    • Turner, H.1    Bailey, T.2    Krzanowski, W.3
  • 28
    • 1342294092 scopus 로고    scopus 로고
    • Normalization for cDNA microarray data: A robust composite method addressing single and multiple slide systematic variation
    • Y.H. Yang, S. Dudoit, P. Luu, D.M. Lin, V. Peng, J. Ngai, and T.P. Speed, "Normalization for cDNA Microarray Data: A Robust Composite Method Addressing Single and Multiple Slide Systematic Variation," Nucleic Acids Research, vol. 30, no. 4, p. e15, 2002.
    • (2002) Nucleic Acids Research , vol.30 , Issue.4
    • Yang, Y.H.1    Dudoit, S.2    Luu, P.3    Lin, D.M.4    Peng, V.5    Ngai, J.6    Speed, T.P.7


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.