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Psychological Methods
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March 9, 2011
Commentary on Steinley and Brusco (2011): recommendations and cautions
Geoffrey J McLachlan
Bioinformatics (Oxford, England)
|
March 5, 2011
Mixtures of common t-factor analyzers for clustering high-dimensional microarray data
Jangsun Baek, Geoffrey J McLachlan
Proceedings of the National Academy of Sciences of the United States of America
|
May 2, 2002
Selection bias in gene extraction on the basis of microarray gene-expression data
Christophe Ambroise, Geoffrey J McLachlan
Artificial Intelligence in Medicine
|
July 17, 2007
Extension of mixture-of-experts networks for binary classification of hierarchical data
Shu-Kay Ng, Geoffrey J McLachlan
Puerto Rico Health Sciences Journal
|
June 18, 2009
Microarray data analysis for differential expression: a tutorial
Erick Suárez, Ana Burguete, Geoffrey J Mclachlan
Biometrics
|
December 22, 2019
A bivariate joint frailty model with mixture framework for survival analysis of recurrent events with dependent censoring and cure fraction
Richard Tawiah, Geoffrey J McLachlan, Shu Kay Ng
Statistical Methods in Medical Research
|
July 12, 2019
Mixture cure models with time-varying and multilevel frailties for recurrent event data
Richard Tawiah, Geoffrey J McLachlan, Shu Kay Ng
Bioinformatics (Oxford, England)
|
December 15, 2006
Segmentation and intensity estimation of microarray images using a gamma-t mixture model
Jangsun Baek, Young Sook Son, Geoffrey J McLachlan
BMC Bioinformatics
|
November 16, 2012
Clustering of time-course gene expression profiles using normal mixture models with autoregressive random effects
Kui Wang, Shu Kay Ng, Geoffrey J McLachlan
Cytometry. Part a : the Journal of the International Society for Analytical Cytology
|
October 23, 2015
Modeling of inter-sample variation in flow cytometric data with the joint clustering and matching procedure
Sharon X Lee, Geoffrey J McLachlan, Saumyadipta Pyne
Page
of 5
Search research articles
Search
Showing results (1-10 of 41) with videos related to
Sort By:
Page
of 5
Psychological Methods
|
March 9, 2011
Commentary on Steinley and Brusco (2011): recommendations and cautions
Geoffrey J McLachlan
Bioinformatics (Oxford, England)
|
March 5, 2011
Mixtures of common t-factor analyzers for clustering high-dimensional microarray data
Jangsun Baek, Geoffrey J McLachlan
Proceedings of the National Academy of Sciences of the United States of America
|
May 2, 2002
Selection bias in gene extraction on the basis of microarray gene-expression data
Christophe Ambroise, Geoffrey J McLachlan
Artificial Intelligence in Medicine
|
July 17, 2007
Extension of mixture-of-experts networks for binary classification of hierarchical data
Shu-Kay Ng, Geoffrey J McLachlan
Puerto Rico Health Sciences Journal
|
June 18, 2009
Microarray data analysis for differential expression: a tutorial
Erick Suárez, Ana Burguete, Geoffrey J Mclachlan
Biometrics
|
December 22, 2019
A bivariate joint frailty model with mixture framework for survival analysis of recurrent events with dependent censoring and cure fraction
Richard Tawiah, Geoffrey J McLachlan, Shu Kay Ng
Statistical Methods in Medical Research
|
July 12, 2019
Mixture cure models with time-varying and multilevel frailties for recurrent event data
Richard Tawiah, Geoffrey J McLachlan, Shu Kay Ng
Bioinformatics (Oxford, England)
|
December 15, 2006
Segmentation and intensity estimation of microarray images using a gamma-t mixture model
Jangsun Baek, Young Sook Son, Geoffrey J McLachlan
BMC Bioinformatics
|
November 16, 2012
Clustering of time-course gene expression profiles using normal mixture models with autoregressive random effects
Kui Wang, Shu Kay Ng, Geoffrey J McLachlan
Cytometry. Part a : the Journal of the International Society for Analytical Cytology
|
October 23, 2015
Modeling of inter-sample variation in flow cytometric data with the joint clustering and matching procedure
Sharon X Lee, Geoffrey J McLachlan, Saumyadipta Pyne
Page
of 5