Finite Mixture Models von McLachlan, Geoffrey J, Lee, Sharon X, Rathnayake, Suren I

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On the number of components in a Gaussian mixture model von McLachlan, Geoffrey J., Rathnayake, Suren

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Conservation and divergence in Toll-like receptor 4-regulated gene expression in primary human versus mouse macrophages von Schroder, 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., Sweet, Matthew J.

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Selection Bias in Gene Extraction on the Basis of Microarray Gene-Expression Data von Ambroise, Christophe, McLachlan, Geoffrey J.

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Automated high-dimensional flow cytometric data analysis von Pyne, Saumyadipta, Hu, Xinli, Wang, Kui, Rossin, Elizabeth, Lin, Tsung -I, Maier, Lisa M, Baecher-Allan, Clare, McLachlan, Geoffrey J, Tamayo, Pablo, Hafler, David A, De Jager, Philip L, Mesirov, Jill P

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Joint modeling and registration of cell populations in cohorts of high-dimensional flow cytometric data von 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, McLachlan, Geoffrey J

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Deep Gaussian mixture models von Viroli, Cinzia, McLachlan, Geoffrey J.

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Clustering of time-course gene expression profiles using normal mixture models with autoregressive random effects von Wang, Kui, Ng, Shu Kay, McLachlan, Geoffrey J

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Application of Multiple Imputation for Missing Values in Three-Way Three-Mode Multi-Environment Trial Data von Tian, Ting, McLachlan, Geoffrey J, Dieters, Mark J, Basford, Kaye E

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A bivariate joint frailty model with mixture framework for survival analysis of recurrent events with dependent censoring and cure fraction von Tawiah, Richard, McLachlan, Geoffrey J., Ng, Shu Kay

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Mini-batch learning of exponential family finite mixture models von Nguyen, Hien D., Forbes, Florence, McLachlan, Geoffrey J.

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An apparent paradox: a classifier based on a partially classified sample may have smaller expected error rate than that if the sample were completely classified von Ahfock, Daniel, McLachlan, Geoffrey J.

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Mixtures of common t-factor analyzers for clustering high-dimensional microarray data von BAEK, Jangsun, MCLACHLAN, Geoffrey J

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Unsupervised pattern recognition of mixed data structures with numerical and categorical features using a mixture regression modelling framework von Ng, Shu-Kay, Tawiah, Richard, McLachlan, Geoffrey J.

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Mixtures of Factor Analyzers with Common Factor Loadings: Applications to the Clustering and Visualization of High-Dimensional Data von Jangsun Baek, McLachlan, Geoffrey J, Flack, Lloyd K

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Mixture cure models with time-varying and multilevel frailties for recurrent event data von Tawiah, Richard, McLachlan, Geoffrey J, Ng, Shu Kay

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Semi‐supervised Gaussian mixture modelling with a missing‐data mechanism in R von Lyu, Ziyang, Ahfock, Daniel, Thompson, Ryan, McLachlan, Geoffrey J.

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Extending mixtures of factor models using the restricted multivariate skew-normal distribution von Lin, Tsung-I, McLachlan, Geoffrey J., Lee, Sharon X.

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EMMIXcskew : An R Package for the Fitting of a Mixture of Canonical Fundamental Skew t -Distributions von Lee, Sharon X., McLachlan, Geoffrey J.

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Robust clustering based on finite mixture of multivariate fragmental distributions von Maleki, Mohsen, McLachlan, Geoffrey J, Lee, Sharon X

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