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2013 Journal Article On mixtures of skew normal and skew t-distributionsLee, Sharon X. and McLachlan, Geoffrey J. (2013). On mixtures of skew normal and skew t-distributions. Advances in Data Analysis and Classification, 7 (3), 241-266. doi: 10.1007/s11634-013-0132-8 |
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2013 Journal Article How to find an appropriate clustering for mixed-type variables with application to socio-economic stratification: written contribution to the discussion on the paper by Hennig and LiaoMcLachlan, G. J. (2013). How to find an appropriate clustering for mixed-type variables with application to socio-economic stratification: written contribution to the discussion on the paper by Hennig and Liao. Applied Statistics-Journal of the Royal Statistical Society Series C, 62 (3), 309-369. doi: 10.1111/j.1467-9876.2012.01066.x |
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2013 Journal Article Critical assessment of automated flow cytometry analysis techniquesAghaeepour, 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 |
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2013 Journal Article On the classification of microarray gene-expression dataBasford, Kaye E., McLachlan, Geoffrey J. and Rathnayake, Suren I. (2013). On the classification of microarray gene-expression data. Briefings in Bioinformatics, 14 (4) bbs056, 402-410. doi: 10.1093/bib/bbs056 |
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2012 Journal Article Clustering of time-course gene expression profiles using normal mixture models with autoregressive random effectsWang, 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, 300.1-300.14. doi: 10.1186/1471-2105-13-300 |
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2012 Journal Article Discriminant analysisMcLachlan, Geoffrey J. (2012). Discriminant analysis. Wiley Interdisciplinary Reviews: Computational Statistics., 4 (5), 421-431. doi: 10.1002/wics.1219 |
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2012 Journal Article Conservation and divergence in Toll-like receptor 4-regulated gene expression in primary human versus mouse macrophagesSchroder, Kate, Irvine, Katharine M., Taylor, Martin S., Bokil, Nilesh J., Le Cao, Kim-Anh, Masterman, Kelly-Anne, Labzin, Larisa I., Semple, Colin A., Kapetanovic, Ronan, Fairbairn, Lynsey, Akalin, Altuna, Faulkner, Geoffrey J., Baillie, John Kenneth, Gongora, Milena, Daub, Carsten O., Kawaji, Hideya, McLachlan, Geoffrey J., Goldman, Nick, Grimmond, Sean M., Carninci, Piero, Suzuki, Harukazu, Hayashizaki, Yoshihide, Lenhard, Boris, Hume, David A. and Sweet, Matthew J. (2012). Conservation and divergence in Toll-like receptor 4-regulated gene expression in primary human versus mouse macrophages. Proceedings of the National Academy of Sciences of the USA, 109 (16), E944-E953. doi: 10.1073/pnas.1110156109 |
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2012 Journal Article Top-10 data mining case studiesMelli, Gabor, Wu, Xindong, Beinat, Paul, Bonchi, Francesco, Cao, Longbing, Duan, Rong, Faloutsos, Christos, Ghani, Rayid, Kitts, Brendan, Goethals, Bart, McLachlan, Geoff, Pei, Jian, Srivastava, Ashok and Zaiane, Osmar (2012). Top-10 data mining case studies. International Journal of Information Technology and Decision Making, 11 (2), 389-400. doi: 10.1142/S021962201240007X |
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2011 Journal Article A very fast algorithm for matrix factorizationNikulin, V, Huang, TH, Ng, SK, Rathnayake, SI and McLachlan, GJ (2011). A very fast algorithm for matrix factorization. Statistics and Probability Letters, 81 (7), 773-782. doi: 10.1016/j.spl.2011.02.001 |
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2011 Journal Article Mixtures of common t-factor analyzers for clustering high-dimensional microarray dataBaek, Jangsun and McLachlan, Geoffrey J. (2011). Mixtures of common t-factor analyzers for clustering high-dimensional microarray data. Bioinformatics, 27 (9) btr112, 1269-1276. doi: 10.1093/bioinformatics/btr112 |
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2011 Journal Article Classification of high-dimensional microarray data with a two-step procedure via a Wilcoxon criterion and multilayer perceptronNikulin, Vladimir, Huang, Tian-Hsiang and McLachlan, Geoffrey J. (2011). Classification of high-dimensional microarray data with a two-step procedure via a Wilcoxon criterion and multilayer perceptron. International Journal of Computational Intelligence and Applications, 10 (1), 1-14. doi: 10.1142/S1469026811002969 |
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2011 Journal Article Commentary on Steinley and Brusco (2011): Recommendations and cautionsMcLachlan, Geoffrey J. (2011). Commentary on Steinley and Brusco (2011): Recommendations and cautions. Psychological Methods, 16 (1), 80-81. doi: 10.1037/a0021141 |
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2011 Journal Article Assessing the adequacy of Weibull survival models: a simulated envelope approachZhao, Yun, Lee, Andy H., Yau, Kelvin K.W. and McLachlan, Geoffrey J. (2011). Assessing the adequacy of Weibull survival models: a simulated envelope approach. Journal of Applied Statistics, 38 (10), 2089-2097. doi: 10.1080/02664763.2010.545115 |
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2011 Journal Article Testing for Group Structure in High-Dimensional DataMcLachlan, G. J. and Rathnayake, S. I. (2011). Testing for Group Structure in High-Dimensional Data. Journal of Biopharmaceutical Statistics, 21 (6), 1113-1125. doi: 10.1080/10543406.2011.608342 |
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2010 Journal Article Mixtures of factor analyzers with common factor loadings: Applications to the clustering and visualization of high-dimensional dataBaek, Jangsun, McLachlan, Geoffrey J. and Flack, Lloyd K. (2010). Mixtures of factor analyzers with common factor loadings: Applications to the clustering and visualization of high-dimensional data. IEEE Transactions on Pattern Analysis and Machine Intelligence, 32 (7) 5184847, 1298-1309. doi: 10.1109/TPAMI.2009.149 |
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2010 Journal Article Integrative mixture of experts to combine clinical factors and gene markersLe Cao, Kim-Anh, Meugnier, Emmanuelle and McLachlan, Geoffrey J. (2010). Integrative mixture of experts to combine clinical factors and gene markers. Bioinformatics, 26 (9) btq107, 1192-1198. doi: 10.1093/bioinformatics/btq107 |
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2010 Journal Article Autoantibody profiling to identify biomarkers of key pathogenic pathways in mucinous ovarian cancerTang, 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 |
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2009 Journal Article A score test for assessing the cured proportion in the long-term survivor mixture modelZhao, Yun, Lee, Andy H., Yau, Kelvin K. W., Burke, Valerie and McLachlan, Geoffrey J. (2009). A score test for assessing the cured proportion in the long-term survivor mixture model. Statistics In Medicine, 28 (27), 3454-3466. doi: 10.1002/sim.3696 |
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2009 Journal Article Classification of imbalanced marketing data with balanced random setsNikulin, Vladimir and McLachlan, Geoffrey J. (2009). Classification of imbalanced marketing data with balanced random sets. Journal of Machine Learning Research, 7, 89-100. |
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2009 Journal Article Microarray data analysis for differential expression: a tutorialSuarez, E., Burguete, A. and McLachlan, G. J. (2009). Microarray data analysis for differential expression: a tutorial. Puerto Rico Health Sciences Journal, 28 (2), 89-104. |
