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Adams, P, Bean, R and Khodkar, A (2003) A census of critical sets in the Latin squares of order at most six. Ars Combinatoria, 68 1: 203-223. 96   2 Cited 3 times in Scopus3
McLachlan, GJ, Bean, RW and Peel, D (2002) A mixture model-based approach to the clustering of microarray expression data. Bioinformatics, 18 3: 413-422. doi:10.1093/bioinformatics/18.3.413 84   274 Cited 302 times in Scopus302 0
Do, 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. 141   Cited 1 times in Scopus1
Jones, LBT, Bean, R, McLachlan, G and Zhu, J (2005) Application of mixture models to detect differentially expressed genes. Intelligent Data Engineering And Automated Learning Ideal 2005, Proceedings, 3578 -: 422-431. 70   1 Cited 1 times in Scopus1
McLachlan, 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 71   76 Cited 84 times in Scopus84 0
Bean, 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. 111   0 Cited 0 times in Scopus0
McLachlan, G. J., Bean, R. W. and Ng, S.-K. (2008). Clustering. In Keith, J. M. (Ed.), Bioinformatics, volume 2: Structure, function and applications (pp. 423-439) New Jersey, United States: Humana Press. doi:10.1007/978-1-60327-429-6 79   3
McLachlan, Geoffrey J., Ng, Angus and Bean, Richard W. (2008). Clustering of microarray data via mixture models. In Atanu Biswas, Sujay Datta, Jason P. Fine and Mark R. Segal (Ed.), Statistical advances in the biomedical sciences: clinical trials, epidemiology, survival analysis, and bioinformatics (pp. 365-383) Hoboken, NJ, United States: John Wiley & Sons. 79   59
Ng, 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. In: M Boden and T L Bailey, Conferences in Research and Practice in Information Technology. 2006 Workshop on Intelligent Systems for Bioinformatics (WISB, Hobart, Australia, (29-33). 4 December 2006. 63  
Adams, P., Bean, R. W. and Khodkar, A. (2001) Disjoint critical sets in Latin squares. Congressus Numerantium, 153 33-48. 47  
McLachlan, 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 86   47 Cited 51 times in Scopus51 0
Basford, Kaye, McLachlan, Geoff and Bean, Richard (2006). Issues of robustness and high dimensionality in cluster analysis. In: A. Rizzi and M. Vichi, COMPSTAT2006: Proceedings in Computational Statistics. 17th Symposium on Computational Statistics (COMSTAT 2006), Rome, Italy, (3-15). 28 August - 1 September 2006. doi:10.1007/978-3-7908-1709-6_1 54   0 0
Bean, Richard (2006) Latin trades on three or four rows. Discrete Mathematics, 306 23: 3028-3041. doi:10.1016/j.disc.2005.06.040 27   1 Cited 1 times in Scopus1 0
Jones, 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 49   3 Cited 3 times in Scopus3 0
McLachlan, 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. 73  
Bean, Richard, Donovan, Diane, Khodkar, Abdollah and Street, Anne Penfold (2002) Steiner trades that give rise to completely decomposable latin interchanges. International Journal of Computer Mathematics, 79 12: 1273-1284. doi:10.1080/00207160214654 51   5 Cited 5 times in Scopus5 0
McLachlan, 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 61   13 Cited 14 times in Scopus14 0