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2017 Book Chapter ClusteringMcLachlan, G. J., Bean, R. W. and Ng, S. K. (2017). Clustering. Bioinformatics Vol. II: Structure, Function, and Applications. (pp. 345-362) edited by Jonathan M. Keith. New York, NY, United States: Humana Press. doi: 10.1007/978-1-4939-6613-4_19 |
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2016 Journal Article How does our natural and built environment affect the use of bicycle sharing?Mateo-Babiano, Iderlina, Bean, Richard, Corcoran, Jonathan and Pojani, Dorina (2016). How does our natural and built environment affect the use of bicycle sharing?. Transportation Research Part A: Policy and Practice, 94, 295-307. doi: 10.1016/j.tra.2016.09.015 |
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2011 Conference Publication Calculation of minimum reserve levels for the Australian national electricity marketBean, Richard and Vanderwaal, Ben (2011). Calculation of minimum reserve levels for the Australian national electricity market. 17th Power Systems Computation Conference, Stockholm, Sweden, 22-26 August 2011. Red Hook, NY, United States: Curran Associates. |
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2008 Book Chapter ClusteringMcLachlan, G. J., Bean, R. W. and Ng, S.-K. (2008). Clustering. Bioinformatics, volume 2: Structure, function and applications. (pp. 423-439) edited by J. M. Keith. New Jersey, United States: Humana Press. doi: 10.1007/978-1-60327-429-6_22 |
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2008 Journal Article Bivariate mixture modeling of transferrin saturation and serum ferritin concentration in Asians, African Americans, Hispanics, and whites in the Hemochromatosis and Iron Overload Screening (HEIRS) StudyMcLaren, C. E., Gordeuk, V. R., Chen, W. -P., Barton, J. C., Action, R. T., Speechley, M., Castro, O., Adams, P. C., Snively, B. M., Harris, E. L., Reboussin, D. M., McLachlan, G. J. and Bean, R. (2008). Bivariate mixture modeling of transferrin saturation and serum ferritin concentration in Asians, African Americans, Hispanics, and whites in the Hemochromatosis and Iron Overload Screening (HEIRS) Study. Translational Research, 151 (2), 97-109. doi: 10.1016/j.trsl.2007.10.002 |
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2008 Book Chapter Clustering of microarray data via mixture modelsMcLachlan, Geoffrey J., Ng, Angus and Bean, Richard W. (2008). Clustering of microarray data via mixture models. Statistical advances in the biomedical sciences: clinical trials, epidemiology, survival analysis, and bioinformatics. (pp. 365-383) edited by Atanu Biswas, Sujay Datta, Jason P. Fine and Mark R. Segal. Hoboken, NJ, United States: John Wiley & Sons. doi: 10.1002/9780470181218.ch21 |
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2007 Journal Article Application of gene shaving and mixture models to cluster microarray gene expression dataDo, K. A., McLachlan, G. J., Bean, R. W. and Wen, S. (2007). Application of gene shaving and mixture models to cluster microarray gene expression data. Cancer Informatics, 5, 25-43. doi: 10.1177/117693510700500002 |
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2007 Journal Article Extension of the Mixture of Factor Analyzers Model to Incorporate the Multivariate t-DistributionMcLachlan, G. J., Bean, R. W. and Jones, L. B. T. (2007). Extension of the Mixture of Factor Analyzers Model to Incorporate the Multivariate t-Distribution. Computational Statistics & Data Analysis, 51 (11), 5327-5338. doi: 10.1016/j.csda.2006.09.015 |
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2007 Conference Publication Subpopulations with iron deficiency, liver disease, or HFE mutations revealed by statistical mixture modeling of transferrin saturation and serum ferritin concentration in Asians, African American, Hispanics, and WhitesMcLaren, C. E., Gordeuk, V. R., Chen, W. P., Barton, J. C., Acton, R. T., Speechley, M., Castro, O., Adams, P. C., Snively, B. M., Harris, E. L., Reboussin, D. M., McLachlan, G. J., Bean, R. and McLaren, G. D. (2007). Subpopulations with iron deficiency, liver disease, or HFE mutations revealed by statistical mixture modeling of transferrin saturation and serum ferritin concentration in Asians, African American, Hispanics, and Whites. 49th Annual Meeting of the American Society of Hematology, Atlanta, GA, U.S.A., 8 - 11 December 2007. Washington, DC, U.S.A.: American Society of Hematology. |
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2006 Journal Article Mixture models for detecting differentially expressed genes in microarraysJones, L. B. T., Bean, R., McLachlan, G. J. and Zhu, J. X. (2006). Mixture models for detecting differentially expressed genes in microarrays. International Journal of Neural Systems, 16 (5), 353-362. doi: 10.1142/S0129065706000755 |
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2006 Journal Article Robust cluster analysis via mixture modelsMcLachlan, G J, Ng, S K and Bean, R W (2006). Robust cluster analysis via mixture models. Austrian Journal of Statistics, 35 (2 & 3), 157-174. |
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2006 Conference Publication Issues of robustness and high dimensionality in cluster analysisBasford, Kaye, McLachlan, Geoff and Bean, Richard (2006). Issues of robustness and high dimensionality in cluster analysis. 17th Symposium on Computational Statistics (COMSTAT 2006), Rome, Italy, 28 August - 1 September 2006. Rome, Italy: Physica-Verlag. doi: 10.1007/978-3-7908-1709-6_1 |
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2006 Journal Article Latin trades on three or four rowsBean, Richard (2006). Latin trades on three or four rows. Discrete Mathematics, 306 (23), 3028-3041. doi: 10.1016/j.disc.2005.06.040 |
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2006 Conference Publication Clustering replicated microarray data in mixtures of random effects models for varius covariance structuresNg, S K, McLachlan, G J, Bean, R W and NG, SW (2006). Clustering replicated microarray data in mixtures of random effects models for varius covariance structures. 2006 Workshop on Intelligent Systems for Bioinformatics (WISB, Hobart, Australia, 4 December 2006. Sydney: The Australian Computer Society. |
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2006 Journal Article A simple implementation of a normal mixture approach to differential gene expression in multiclass microarraysMcLachlan, GJ, Bean, RW and Jones, LBT (2006). A simple implementation of a normal mixture approach to differential gene expression in multiclass microarrays. Bioinformatics, 22 (13), 1608-1615. doi: 10.1093/bioinformatics/btl148 |
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2005 Journal Article Critical sets in the elementary abelian 2- And 3-groupsBean, Richard (2005). Critical sets in the elementary abelian 2- And 3-groups. Utilitas Mathematica, 68, 53-61. |
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2005 Journal Article Using mixture models to detect differentially expressed genesMcLachlan, G. J., Bean, R. W., Jones, L. and Zhu, J. X. (2005). Using mixture models to detect differentially expressed genes. Australian Journal Of Experimental Agriculture, 45 (7-8), 859-866. doi: 10.1071/EA05051 |
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2005 Journal Article Cluster analysis of high-dimensional data: A case studyBean, R and McLachlan, G (2005). Cluster analysis of high-dimensional data: A case study. Intelligent Data Engineering And Automated Learning Ideal 2005, Proceedings, 3578 (-), 302-310. |
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2005 Conference Publication Application of mixture models to detect differentially expressed genesJones, LBT, Bean, R, McLachlan, G and Zhu, J (2005). Application of mixture models to detect differentially expressed genes. Berlin: Springer-Verlag Berlin. doi: 10.1007/11508069_55 |
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2004 Journal Article Clustering objects on subsets of attributes - DiscussionHand, DJ, Glasbey, C, Husmeier, D, Gower, JC, van Houwelingen, HC, Bugrien, JB, Nason, G, Critchley, F, Hoff, PD, McLachlan, GJ and Bean, RW (2004). Clustering objects on subsets of attributes - Discussion. Journal of The Royal Statistical Society Series B-statistical Methodology, 66 (4), 839-849. |
