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2008 Book The EM algorithm and extensionsMcLachlan, Geoffrey J. and Krishnan, Thriyambakam (2008). The EM algorithm and extensions. 2nd ed. Hoboken, NJ, United States: John Wiley & Sons. doi: 10.1002/9780470191613 |
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2008 Book Chapter Correcting for Selection Bias via Cross-Validation in the Classification of Microarray DataMcLachlan, G J., Chevelu, J. and Zhu, J. (2008). Correcting for Selection Bias via Cross-Validation in the Classification of Microarray Data. Beyond Parametrics in Interdisciplinary Research: Festschrift in Honor of Professor Pranab K. Sen. (pp. 364-376) edited by Balakrishnan, N., Pena, E. A. and Silvapulle, M. J.. United States: Institute of Mathematical Statistics. doi: 10.1214/193940307000000284 |
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2008 Conference Publication Clustering via mixture regression models with random effectsMcLachlan, G. J., Ng, S. K. and Wang, K. (2008). Clustering via mixture regression models with random effects. 18th Symposium on Computational Statistics (COMSTAT 2008), Porto, Portugal, 24-29 August 2008. Heidelberg, Germany: Physica-Verlag,. doi: 10.1007/978-3-7908-2084-3_33 |
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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 Large-scale simultaneous inference with applications to the detection of differential expression with microarray data (with discussion)McLachlan, Geoff J., Wang, Kent and Ng, Shu Kay (2008). Large-scale simultaneous inference with applications to the detection of differential expression with microarray data (with discussion). Statistica, 68 (1), 1-30. doi: 10.6092/issn.1973-2201/3525 |
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2008 Journal Article Top 10 Algorithms in Data MiningWu, X., Kumar, V., Quinlan, J. R., Ghosh, J., Yang, Q., Motoda, H., McLachlan, G. J., Ng, A., Liu, B., Yu, P. S., Zhou, Z. H., Steinbach, M., Hand, D. J. and Steinberg, D. (2008). Top 10 Algorithms in Data Mining. Knowledge and Information Systems, 14 (1), 1-37. doi: 10.1007/s10115-007-0114-2 |
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2008 Journal Article Characteristic Traffic Load Effects from a Mixture of Loading Events on Short to Medium Span BridgesCaprani, C. C., O'Brien, E. J. and McLachlan, G. J. (2008). Characteristic Traffic Load Effects from a Mixture of Loading Events on Short to Medium Span Bridges. Structural Safety, 30 (3), 394-404. doi: 10.1016/j.strusafe.2006.11.006 |
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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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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 Journal Article On selection biases with prediction rules formed from gene expression dataZhu, J. X., McLachlan, G. J., Jones, L. B. T. and Wood, I. A. (2008). On selection biases with prediction rules formed from gene expression data. Journal of Statistical Planning and Inference, 138 (2), 374-386. doi: 10.1016/j.jspi.2007.06.003 |
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2008 Journal Article Comments on: Augmenting the bootstrap to analyze high dimensional genomic dataMcLachlan, Geoffrey J., Wang, K. and Ng, S. K. (2008). Comments on: Augmenting the bootstrap to analyze high dimensional genomic data. Test, 17 (1), 43-46. doi: 10.1007/s11749-008-0106-x |
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2007 Journal Article Two-component Poisson Mixture Regression Modelling of Count Data With Bivariate Random EffectsWang, Kui, Yau, Kelvin K. W., Lee, Andy H. and McLachlan, Geoffrey J. (2007). Two-component Poisson Mixture Regression Modelling of Count Data With Bivariate Random Effects. Mathematical and Computer Modelling, 46 (11-12), 1468-1476. doi: 10.1016/j.mcm.2007.02.003 |
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2007 Conference Publication Resolving the latent structure of schizophrenia endophenotypes using em-based finite mixture modelingLenzenweger, M. F., McLachlan, G. and Rubin, D. B. (2007). Resolving the latent structure of schizophrenia endophenotypes using em-based finite mixture modeling. 10th International Congress on Schizophrenia Research, Savannah Ga, 02-06 April 2005. Oxford, United Kingdom: Oxford University Press. doi: 10.1093/schbul/sbm004 |
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2007 Journal Article Maternity length of stay modelling by Gamma mixture regression with random effectsLee, Andy H., Wang, Kui, Yau, Kelvin K. W., McLachlan, Geoffrey J. and Ng, Shu Kay (2007). Maternity length of stay modelling by Gamma mixture regression with random effects. Biometrical Journal, 49 (5), 750-764. doi: 10.1002/bimj.200610371 |
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2007 Journal Article Segmentation and intensity estimation of microarray images using a gamma-t mixture modelBaek, J., Son, Y. S. and McLachlan, G. J. (2007). Segmentation and intensity estimation of microarray images using a gamma-t mixture model. Bioinformatics, 23 (4), 458-465. doi: 10.1093/bioinformatics/btl630 |
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2007 Journal Article Multilevel Survival Modelling of Recurrent Urinary Tract InfectionsWang, Kui, Yau, Kelvin K. W., Lee, Andy H. and McLachlan, Geoffrey J. (2007). Multilevel Survival Modelling of Recurrent Urinary Tract Infections. Computer Methods and Programs in Biomedicine, 87 (3), 225-229. doi: 10.1016/j.cmpb.2007.05.013 |
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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 Journal Article A tutorial in genetic epidemiology and some considerations in statistical modelingSuarez, E., Sariol, C. A., Burguete, A. and McLachlan, G. J. (2007). A tutorial in genetic epidemiology and some considerations in statistical modeling. Puerto Rico Health Sciences Journal, 26 (4), 401-421. |
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2007 Conference Publication Merging algorithm to reduce dimensionality in application to web-miningNikulin, V and McLachlan, GJ (2007). Merging algorithm to reduce dimensionality in application to web-mining. 20th Australian Joint Conference on Artificial Intelligence, Gold Coast, Qld, Australia, 2-6 December, 2007. Berlin, Germany: Springer Berlin / Heidelberg. doi: 10.1007/978-3-540-76928-6_88 |
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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. |
