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Volumn 21, Issue 13, 2005, Pages 3025-3033

A variational Bayesian mixture modelling framework for cluster analysis of gene-expression data

Author keywords

[No Author keywords available]

Indexed keywords

EPIDERMAL GROWTH FACTOR RECEPTOR 2;

EID: 21444450507     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/bti466     Document Type: Article
Times cited : (65)

References (33)
  • 1
    • 0034598746 scopus 로고    scopus 로고
    • Distinct types of diffuse large b-cell lymphoma identified by gene expression profiling
    • Alizadeh,A.A. et al. (2000) Distinct types of diffuse large b-cell lymphoma identified by gene expression profiling. Nature, 403, 503-511.
    • (2000) Nature , vol.403 , pp. 503-511
    • Alizadeh, A.A.1
  • 2
    • 0003278032 scopus 로고    scopus 로고
    • Inferring parameters and structure of latent variable models by variational bayes
    • Morgan-Kaufmann, San Francisco, CA
    • Attias,H. (1999) Inferring parameters and structure of latent variable models by variational bayes. In Proceedings of the 15th Conference on Uncertainty in Artificial Intelligence, Morgan-Kaufmann, San Francisco, CA, pp. 21-30.
    • (1999) Proceedings of the 15th Conference on Uncertainty in Artificial Intelligence , pp. 21-30
    • Attias, H.1
  • 3
    • 13844295342 scopus 로고    scopus 로고
    • The variational bayesian em algorithm for incomplete data: With application to scoring graphical model structures
    • Clarendon Press, Oxford
    • Beal,M. and Ghahramani,Z. (2003) The variational bayesian em algorithm for incomplete data: with application to scoring graphical model structures. In Bayesian Statistics. Clarendon Press, Oxford, Vol. 7, pp. 453-464.
    • (2003) Bayesian Statistics , vol.7 , pp. 453-464
    • Beal, M.1    Ghahramani, Z.2
  • 4
    • 84972893020 scopus 로고
    • A dendrite method for cluster analysis
    • Calinski,R.B. and Harabasz,J. (1974) A dendrite method for cluster analysis. Commun. Stat., 3, 1-27
    • (1974) Commun. Stat. , vol.3 , pp. 1-27
    • Calinski, R.B.1    Harabasz, J.2
  • 6
    • 0037172724 scopus 로고    scopus 로고
    • A prediction-based resampling method for estimating the number of clusters in a dataset
    • RESEARCH0036
    • Dudoit,S. and Fridlyand,J. (2002) A prediction-based resampling method for estimating the number of clusters in a dataset. Genome Biol., 3, RESEARCH0036.
    • (2002) Genome Biol. , vol.3
    • Dudoit, S.1    Fridlyand, J.2
  • 7
    • 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
  • 8
    • 22844453564 scopus 로고    scopus 로고
    • Mclust: Software for model-based cluster analysis
    • Fraley,C. and Raftery,A.E. (1999) Mclust: software for model-based cluster analysis. J. Classif., 16, 297-306.
    • (1999) J. Classif. , vol.16 , pp. 297-306
    • Fraley, C.1    Raftery, A.E.2
  • 9
    • 0036188158 scopus 로고    scopus 로고
    • Mixture modelling of gene expression data from microarray experiments
    • Ghosh,D. and Chinnaiyan,A.M. (2002) Mixture modelling of gene expression data from microarray experiments. Bioinformatics, 18, 275-286.
    • (2002) Bioinformatics , vol.18 , pp. 275-286
    • Ghosh, D.1    Chinnaiyan, A.M.2
  • 10
    • 0033569406 scopus 로고    scopus 로고
    • Molecular classification of cancer: Class discovery and class prediction by gene expression monitoring
    • Golub,T.R. et al. (1999) Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. Science, 286, 531-537.
    • (1999) Science , vol.286 , pp. 531-537
    • Golub, T.R.1
  • 13
    • 0023905024 scopus 로고
    • A criterion for determining the number of groups in a data set using sum of squares clustering
    • Krzanowski,W.J. and Lai,Y.T. (1985) A criterion for determining the number of groups in a data set using sum of squares clustering. Biometrics, 44, 23-34.
    • (1985) Biometrics , vol.44 , pp. 23-34
    • Krzanowski, W.J.1    Lai, Y.T.2
  • 14
    • 0036166753 scopus 로고    scopus 로고
    • Linear modes of gene expression determined by independent component analysis
    • Liebermeister,W. (2002) Linear modes of gene expression determined by independent component analysis. Bioinfomatics, 18, 51-60.
    • (2002) Bioinfomatics , vol.18 , pp. 51-60
    • Liebermeister, W.1
  • 16
    • 12244298864 scopus 로고    scopus 로고
    • A decomposition model to track gene expression signatures: Preview on observer-independent classification of ovarian cancer
    • Martoglio,A.M. et al. (2002) A decomposition model to track gene expression signatures: preview on observer-independent classification of ovarian cancer. Bioinformatics, 18, 1617-1624.
    • (2002) Bioinformatics , vol.18 , pp. 1617-1624
    • Martoglio, A.M.1
  • 17
    • 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
  • 18
    • 0036856374 scopus 로고    scopus 로고
    • Methods for assessing reproducibility of clustering patterns observed in analyses of microarray data
    • McShane,L.M. et al. (2002) Methods for assessing reproducibility of clustering patterns observed in analyses of microarray data. Bioinformatics, 18, 1462-1469.
    • (2002) Bioinformatics , vol.18 , pp. 1462-1469
    • McShane, L.M.1
  • 19
    • 0003994516 scopus 로고    scopus 로고
    • Ensemble learning for independent component analysis
    • PhD Thesis, Cambridge University, Cambridge
    • Miskin,J.W. (2000) Ensemble learning for independent component analysis. PhD Thesis, Cambridge University, Cambridge.
    • (2000)
    • Miskin, J.W.1
  • 20
    • 0038724494 scopus 로고    scopus 로고
    • Consensus clustering: A resampling-based method for class discovery and visualisation of gene expression microarray data
    • Monti,S. et al. (2003) Consensus clustering: a resampling-based method for class discovery and visualisation of gene expression microarray data. Machine Learning, 52, 91-118.
    • (2003) Machine Learning , vol.52 , pp. 91-118
    • Monti, S.1
  • 21
    • 9144275122 scopus 로고    scopus 로고
    • Identification of expressed genes linked to malignancy of human colorectal carcinoma by parametric clustering of quantitative expression data
    • Muro,S. et al. (2003) Identification of expressed genes linked to malignancy of human colorectal carcinoma by parametric clustering of quantitative expression data. Genome Biol., 4, R21.
    • (2003) Genome Biol. , vol.4
    • Muro, S.1
  • 22
    • 0034680102 scopus 로고    scopus 로고
    • Molecular portraits of human breast tumours
    • Perou,C.M. et al. (2000) Molecular portraits of human breast tumours. Nature, 406, 747-752.
    • (2000) Nature , vol.406 , pp. 747-752
    • Perou, C.M.1
  • 23
    • 0001201909 scopus 로고
    • Bayesian model selection in social research
    • Marsden,P.V. (ed.), Blackwell Publishers, Cambridge, MA
    • Raftery,A.E. (1995) Bayesian model selection in social research. In Marsden,P.V. (ed.), Sociological Methodology. Blackwell Publishers, Cambridge, MA, pp. 111-163.
    • (1995) Sociological Methodology , pp. 111-163
    • Raftery, A.E.1
  • 24
    • 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
  • 25
    • 6944244084 scopus 로고    scopus 로고
    • A module map showing conditional activity of expression modules in cancer
    • Segal,E. et al. (2004) A module map showing conditional activity of expression modules in cancer. Nat. Genet., 36, 1090-1098.
    • (2004) Nat. Genet. , vol.36 , pp. 1090-1098
    • Segal, E.1
  • 26
    • 0037478605 scopus 로고    scopus 로고
    • Repeated observation of breast tumor subtypes in independent gene expression data sets
    • Sorlie,T. et al. (2003) Repeated observation of breast tumor subtypes in independent gene expression data sets. Proc. Natl Acad. Sci. USA, 100, 8418-8423.
    • (2003) Proc. Natl. Acad. Sci. USA , vol.100 , pp. 8418-8423
    • Sorlie, T.1
  • 27
    • 0042838307 scopus 로고    scopus 로고
    • Breast cancer classification and prognosis based on gene expression profiles from a population-based study
    • Sotiriou,C. et al. (2003) Breast cancer classification and prognosis based on gene expression profiles from a population-based study. Proc. Natl Acad. Sci. USA, 100, 10393-10398.
    • (2003) Proc. Natl. Acad. Sci. USA , vol.100 , pp. 10393-10398
    • Sotiriou, C.1
  • 28
    • 0033027794 scopus 로고    scopus 로고
    • Interpreting patterns of gene expression with self-organizing maps: Methods and application to hematopoietic differentiation
    • Tamayo,P. et al. (1999) Interpreting patterns of gene expression with self-organizing maps: methods and application to hematopoietic differentiation. Proc. Natl Acad. Sci. USA, 96, 2907-2912.
    • (1999) Proc. Natl. Acad. Sci. USA , vol.96 , pp. 2907-2912
    • Tamayo, P.1
  • 29
    • 0033028596 scopus 로고    scopus 로고
    • Systematic determination of genetic network architecture
    • Tavazoie,S. et al. (1999) Systematic determination of genetic network architecture. Nat. Genet., 22, 281-285.
    • (1999) Nat. Genet. , vol.22 , pp. 281-285
    • Tavazoie, S.1
  • 30
    • 18244409687 scopus 로고    scopus 로고
    • Gene expression profiling predicts clinical outcome of breast cancer
    • vant Veer,L.J. et al. (2002) Gene expression profiling predicts clinical outcome of breast cancer. Nature, 415, 530-536.
    • (2002) Nature , vol.415 , pp. 530-536
    • vant Veer, L.J.1
  • 31
    • 21444458046 scopus 로고    scopus 로고
    • Convergence properties of a general algorithm for calculating variational bayesian estimates for a normal mixture model
    • University of Glasgow, UK
    • Wang,B. and Titterington,D.M. (2004) Convergence properties of a general algorithm for calculating variational bayesian estimates for a normal mixture model. Technical Report, University of Glasgow, UK.
    • (2004) Technical Report
    • Wang, B.1    Titterington, D.M.2
  • 32
    • 0034782618 scopus 로고    scopus 로고
    • Model-based clustering and data transformations for gene expression data
    • Yeung,K.Y. et al. (2001) Model-based clustering and data transformations for gene expression data. Bioinformatics, 17, 977-987.
    • (2001) Bioinformatics , vol.17 , pp. 977-987
    • Yeung, K.Y.1
  • 33
    • 2942550697 scopus 로고    scopus 로고
    • Gotree machine (gotm): A web-based platform for interpreting sets of interesting genes using gene ontology hierarchies
    • Zhang,B. et al. (2004) Gotree machine (gotm): a web-based platform for interpreting sets of interesting genes using gene ontology hierarchies. BMC Bioinformatics, 5, 1-8.
    • (2004) BMC Bioinformatics , vol.5 , pp. 1-8
    • Zhang, B.1


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