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Ng, SK, McLachlan, GJ, Wang, K, Jones, LBT and Ng, SW (2006) A Mixture model with random-effects components for clustering correlated gene-expression profiles. Bioinformatics, 22 14: 1745-1752. doi:10.1093/bioinformatics/btl165 996   67 Cited 72 times in Scopus72 0
Tang, Liangdan, Yang, Junzheng, Ng, Shu-Kay, Rodriguez, Noah, Choi, Pui-Wah, Vitonis, Allison, Wang, Kui, McLachlan, Geoffrey J., Caiazzo, Robert J., Liu, Brian C.-S., Welch, Brian C.-S., Cramer, Daniel W., Berkowitz, Ross S. and Ng, Shu-Wing (2010) Autoantibody profiling to identify biomarkers of key pathogenic pathways in mucinous ovarian cancer. European Journal of Cancer, 46 1: 170-179. doi:10.1016/j.ejca.2009.10.003 61   18 Cited 19 times in Scopus19 0
Pyne, S., Hu, X., Wang, K., Rossin, E., Lin, T.-I., Maier, L. M., Baecher-Allan, C., McLachlan, G. J., Tamayo, P., Hafler, D. A., De Jager, P. L. and Mesirow, J. P. (2009) Automated high-dimensional flow cytometric data analysis. Proceedings of the National Academy of Sciences of the United States of America, 106 21: 8519-8524. doi:10.1073/pnas.0903028106 78   100 Cited 104 times in Scopus104 0
McLachlan, G. J., Flack, L. K., Ng, S. K. and Wang, K. (2013). Clustering of gene expression data via normal mixture models. In Andrei Y. Yakovlev, Lev Klebanov and Daniel Gaile (Ed.), Statistical Methods for Microarray Data Analysis: Methods and Protocols (pp. 103-119) New York, NY, United States: Humana Press. doi:10.1007/978-1-60327-337-4_7 37   Cited 0 times in Scopus0 0
Wang, Kui, Ng, Shu Kay and McLachlan, Geoffrey J. (2012) Clustering of time-course gene expression profiles using normal mixture models with autoregressive random effects. Bmc Bioinformatics, 13 1: 300.1-300.14. doi:10.1186/1471-2105-13-300 24   0 Cited 2 times in Scopus2 2
McLachlan, G. J., Ng, S. K. and Wang, K. (2008). Clustering via mixture regression models with random effects. In: Paula Brito, COMPSTAT : Proceedings in computational statistics. 18th Symposium on Computational Statistics (COMSTAT 2008), Porto, Portugal, (397-407). 24-29 August 2008. doi:10.1007/978-3-7908-2084-3_33 88   1 0
McLachlan, 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 76   0 Cited 0 times in Scopus0 0
Aghaeepour, Nima, Finak, Greg, Hoos, Holger, Mosmann, Tim R., Brinkman, Ryan, Gottardo, Raphael, Scheuermann, Richard H., The FlowCAP Consortium, McLachlan, Geoffrey J., Wang, Kui and The DREAM Consortium (2013) Critical assessment of automated flow cytometry analysis techniques. Nature Methods, 10 3: 228-238. doi:10.1038/nmeth.2365 43   44 Cited 48 times in Scopus48 25
Wang, K., Yau, K.K.W. and Lee, A.H. (2003) Factors influencing hospitalisation of infants for recurrent gastroenteritis in Western Australia. Methods of Information in Medicine, 42 3: 251-254. 68   Cited 2 times in Scopus2
Pyne, Saumyadipta, Lee, Sharon X., Wang, Kui, Irish, Jonathan, Tamayo, Pablo, Nazaire, Marc-Danie, Duong, Tarn, Ng, Shu-Kay, Hafler, David, Levy, Ronald, Nolan, Garry P., Mesirov, Jill and McLachlan, Geoffrey J. (2014) Joint modeling and registration of cell populations in cohorts of high-dimensional flow cytometric data. PLoS One, 9 7: e100334.1-e100334.11. doi:10.1371/journal.pone.0100334 22   0 Cited 0 times in Scopus0 1
Lee, 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 212   6 Cited 6 times in Scopus6 0
Lee, Andy H., Wang, Kui, Yau, Kelvin K. W., Carrivick, Philip J. W. and Stevenson, Mark R. (2005) Modelling bivariate count series with excess zeros. Mathematical Biosciences, 196 2: 226-237. doi:10.1016/j.mbs.2005.05.001 55   9 Cited 12 times in Scopus12 0
Wang, Kui, Lee, Andy H., Hamilton, Greg and Yau, Kelvin K.W. (2006) Multilevel logistic regression modelling with correlated random effects: Application to the Smoking Cessation for Youth study. Statistics in Medicine, 25 22: 3864-3876. doi:10.1002/sim.2472 48   4 Cited 4 times in Scopus4 0
Ng, Shu-Kay, Wang, Kui and McLachlan, Geoffrey J. (2006). Multilevel modelling for inference of genetic regulatory networks. In: Axel Bender, Complex Systems, Brisbane, Australia, (S390-S390). 11-14 December 2005. doi:10.1117/12.638449 99   0 Cited 0 times in Scopus0 0
Wang, 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.2007.05.013 127   2 Cited 3 times in Scopus3 0
Lee, AH, Wang, K, Scott, JA, Yau, KKW and McLachlan, GJ (2006) Multi-level zero-inflated Poisson regression modelling of correlated count data with excess zeros. Statistical Methods In Medical Research, 15 1: 47-61. doi:10.1191/0962280206sm429oa 181   59 Cited 60 times in Scopus60 0
Wang, Kui, Ng, Shu-Kay and McLachlan, Geoffrey J. (2009). Multivariate skew t mixture models: applications to fluorescence-activated cell sorting data. In: Hao Shi, Yanchun Zhang, Murk J. Bottema, Anthony J. Maeder and Brian C. Lovell, Proceedings of Digital Image Computing: Techniques and Applications, 2009. DICTA 2009. 2009 Conference of Digital Image Computing: Techniques and Applications, Melbourne, Australia, (526-531). 1-3 December 2009. doi:10.1109/DICTA.2009.88 71   5 Cited 10 times in Scopus10 0
Lee, Andy, Wang, K., Yau, K. K. W. and Somerford, Peter, J. (2003) Truncated negative binomial mixed regression modelling of ischaemic stroke hospitalizations. Statistics In Medicine, 22 7: 1129-1139. doi:10.1002/sim.1419 42   10 Cited 15 times in Scopus15 0
Wang, 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.2007.02.003 129   2 Cited 3 times in Scopus3 0
Yau, K. K. W., Wang, K. and Lee, A. H. (2003) Zero-inflated negative binomial mixed regression modeling of over-dispersed count data with extra zeros. Biometrical Journal, 45 4: 437-452. doi:10.1002/bimj.200390024 227   51 Cited 65 times in Scopus65 0