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Volumn , Issue , 2004, Pages 267-274

Model-based clustering with genes expression dynamics for time-course gene expression data

Author keywords

Average adjusted Rand index (AARI); Gene expression dynamics; Markov Chain models (MCM); Model based clustering

Indexed keywords

ARRAYS; COMPUTATIONAL COMPLEXITY; DNA; GENES; GENETIC ALGORITHMS; MARKOV PROCESSES; MATHEMATICAL MODELS;

EID: 4544386519     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (3)

References (30)
  • 1
    • 0028806048 scopus 로고
    • Quantitative monitoring of gene expression patterns with a complementary DNA microarray
    • Schena, M. et al., Quantitative monitoring of gene expression patterns with a complementary DNA microarray, Science, 279: 467-470, 1995.
    • (1995) Science , vol.279 , pp. 467-470
    • Schena, M.1
  • 2
    • 10544256600 scopus 로고    scopus 로고
    • Expression monitoring by hybridization to high density oligonucleotide arrays
    • Lockhart, D. J., et al., Expression monitoring by hybridization to high density oligonucleotide arrays, Nature Biotechnology, 14: 1675-1680, 1996.
    • (1996) Nature Biotechnology , vol.14 , pp. 1675-1680
    • Lockhart, D.J.1
  • 3
    • 0035175010 scopus 로고    scopus 로고
    • The stanford microarray database
    • Sherlock, G., et al., The Stanford Microarray Database, Nucleic Acids Research, 29: 152-155, 2001.
    • (2001) Nucleic Acids Research , vol.29 , pp. 152-155
    • Sherlock, G.1
  • 4
    • 0032441150 scopus 로고    scopus 로고
    • Cluster analysis and display of genome-wide expression patterns
    • Eisen, M. B. et al., Cluster Analysis and Display of Genome-Wide Expression Patterns, Proc Natl. Acad. Sci. USA, 95: 14863-14868, 1998.
    • (1998) Proc Natl. Acad. Sci. USA , vol.95 , pp. 14863-14868
    • Eisen, M.B.1
  • 5
    • 0033028596 scopus 로고    scopus 로고
    • Systematic determination of genetic network architecture
    • Tavazoie, S. et al., Systematic determination of genetic network architecture, Nature Genetics, 22: 281-285, 1999.
    • (1999) Nature Genetics , vol.22 , pp. 281-285
    • Tavazoie, S.1
  • 6
    • 0033027794 scopus 로고    scopus 로고
    • Interpreting patterns of gene expression with self-organizing maps: Methods and application to hematopoietic differentiation
    • Tamayo, P., et al., Interpreting patterns of gene expression with self-organizing maps: Methods and application to hematopoietic differentiation, Proc. Natl. Acad. Sci. USA, 96: 2907-2912, 1999.
    • (1999) Proc. Natl. Acad. Sci. USA , vol.96 , pp. 2907-2912
    • Tamayo, P.1
  • 7
    • 0034062083 scopus 로고    scopus 로고
    • Analysis of large-scale gene expression data
    • Scherlock, G., Analysis of large-scale gene expression data, Current Opinion in Immunology, 12: 201-205, 2000.
    • (2000) Current Opinion in Immunology , vol.12 , pp. 201-205
    • Scherlock, G.1
  • 8
    • 0033736476 scopus 로고    scopus 로고
    • Genetic network inference: From co-expression clustering to reverse engineering
    • D'haeseleer, P., Liang S., and Somogyi, R., Genetic network inference: from co-expression clustering to reverse engineering, Bioinformatics 16:707-726, 2000.
    • (2000) Bioinformatics , vol.16 , pp. 707-726
    • D'Haeseleer, P.1    Liang, S.2    Somogyi, R.3
  • 9
    • 0032269108 scopus 로고    scopus 로고
    • How many clusters? Which clustering methods? Answers via model-based cluster analysis
    • Fraley, C. and Raftery, A. E., How many clusters? Which clustering methods? Answers via model-based cluster analysis, The Computer Journal, 41:578-588, 1998.
    • (1998) The Computer Journal , vol.41 , pp. 578-588
    • Fraley, C.1    Raftery, A.E.2
  • 10
    • 0034782618 scopus 로고    scopus 로고
    • Model-based clustering and data trans-formations for gene expression data
    • Yeung, K.Y., et al., Model-based clustering and data trans-formations for gene expression data, Bioinformatics, 17: 977-987, 2001
    • (2001) Bioinformatics , vol.17 , pp. 977-987
    • Yeung, K.Y.1
  • 12
    • 0036203115 scopus 로고    scopus 로고
    • A mixture model-based approach to the clustering of microarray expression data
    • McLachlan, G. J., Bean, R. W., and Peel, D., A mixture model-based approach to the clustering of microarray expression data, Bioinformatics, 18: 413-422, 2002.
    • (2002) Bioinformatics , vol.18 , pp. 413-422
    • McLachlan, G.J.1    Bean, R.W.2    Peel, D.3
  • 13
    • 0036188158 scopus 로고    scopus 로고
    • Mixture modelling of gene expression data from microarray experiments
    • Ghosh, D. and Chinnaiyan, A. M., Mixture modelling of gene expression data from microarray experiments, Bioinformatics, 18: 275-286, 2002.
    • (2002) Bioinformatics , vol.18 , pp. 275-286
    • Ghosh, D.1    Chinnaiyan, A.M.2
  • 14
    • 0346869318 scopus 로고    scopus 로고
    • A general Probabilistic framework for clustering individuals
    • Department of Information and computer Science, University of California, Irvine, March
    • Cadez, I., Gaffney, S., and Symth, P., A general Probabilistic framework for clustering individuals, Technical Report No.00-09, Department of Information and computer Science, University of California, Irvine, March 2000.
    • (2000) Technical Report No.00-09 , Issue.9
    • Cadez, I.1    Gaffney, S.2    Symth, P.3
  • 15
    • 84898995769 scopus 로고    scopus 로고
    • Clustering sequence with hidden Markov models
    • MIT Press
    • Smyth, P. Clustering sequence with hidden Markov models, in Advances in Neural Information Processing 9, MIT Press, pp: 648-654, 1997.
    • (1997) Advances in Neural Information Processing , vol.9 , pp. 648-654
    • Smyth, P.1
  • 16
    • 0008040518 scopus 로고    scopus 로고
    • Probabilistic model-based clustering of multivariate and sequential data
    • San Francisco, CA: Morgan Kaufman
    • Smyth, P., Probabilistic model-based clustering of multivariate and sequential data, in Proceedings of the Seventh International Workshop on AI and Statistics, San Francisco, CA: Morgan Kaufman, pp: 299-304, 1999.
    • (1999) Proceedings of the Seventh International Workshop on AI and Statistics , pp. 299-304
    • Smyth, P.1
  • 18
    • 0034671792 scopus 로고    scopus 로고
    • Global analysis of the genetic network controlling a bacterial cell cycle
    • Laub, M. T., Global analysis of the genetic network controlling a bacterial cell cycle, Science 290: 2144-2148, 2000.
    • (2000) Science , vol.290 , pp. 2144-2148
    • Laub, M.T.1
  • 19
    • 0036372266 scopus 로고    scopus 로고
    • Model-based cluster analysis of microarray gene-expression data
    • research0009.1-0009.8
    • Pan, W., Lin, J., and Le, C. T., Model-based cluster analysis of microarray gene-expression data, Genome Biology 3: research0009.1-0009.8, 2002.
    • (2002) Genome Biology , vol.3
    • Pan, W.1    Lin, J.2    Le, C.T.3
  • 24
    • 0037172724 scopus 로고    scopus 로고
    • A prediction-based re-sampling method for estimating the number of clustering in a dataset
    • research 0036.1-0036.21
    • Dudoit, S. and Fridlyand, J., A prediction-based re-sampling method for estimating the number of clustering in a dataset, Genome Biology 3: research 0036.1-0036.21, 2002.
    • (2002) Genome Biology , vol.3
    • Dudoit, S.1    Fridlyand, J.2
  • 26
  • 27
    • 0035024021 scopus 로고    scopus 로고
    • Validating clustering for gene expression data
    • Yeung, K. Y., et al., Validating clustering for gene expression data, Bioinformatics, 17: 309-318, 2001.
    • (2001) Bioinformatics , vol.17 , pp. 309-318
    • Yeung, K.Y.1
  • 28
    • 0036207548 scopus 로고    scopus 로고
    • Inference from clustering with application to gene-expression micrarrays
    • Dougherty, E. R. et al., Inference from clustering with application to gene-expression micrarrays, Journal of Computational Biology, 9: 105-126, 2002.
    • (2002) Journal of Computational Biology , vol.9 , pp. 105-126
    • Dougherty, E.R.1
  • 29
    • 0000642069 scopus 로고
    • Replicating clustering analysis: Method, consistency, and validity
    • Breckenridge, J. N., Replicating clustering analysis: method, consistency, and validity, Multivariate Behaviour Research, 24:147-161, 1989.
    • (1989) Multivariate Behaviour Research , vol.24 , pp. 147-161
    • Breckenridge, J.N.1
  • 30
    • 0024610919 scopus 로고
    • A tutorial on hidden Markov models and selected applications in speech recognition
    • Rabiner, L. R., A tutorial on hidden Markov models and selected applications in speech recognition, Proceedings of IEEE, 77:257-285, 1989.
    • (1989) Proceedings of IEEE , vol.77 , pp. 257-285
    • Rabiner, L.R.1


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