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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 dataChristophe Ambroise, Geoffrey J McLachlanPsychological Methods|March 9, 2011
Commentary on Steinley and Brusco (2011): recommendations and cautionsGeoffrey J McLachlanBioinformatics (Oxford, England)|March 5, 2011
Mixtures of common t-factor analyzers for clustering high-dimensional microarray dataJangsun Baek, Geoffrey J McLachlanArtificial Intelligence in Medicine|July 17, 2007
Extension of mixture-of-experts networks for binary classification of hierarchical dataShu-Kay Ng, Geoffrey J McLachlanPuerto Rico Health Sciences Journal|June 18, 2009
Microarray data analysis for differential expression: a tutorialErick Suárez, Ana Burguete, Geoffrey J MclachlanBMC Bioinformatics|January 25, 2017
Eigen-Epistasis for detecting gene-gene interactionsVirginie Stanislas, Cyril Dalmasso, Christophe AmbroisePlos One|January 5, 2012
Accounting for population stratification in practice: a comparison of the main strategies dedicated to genome-wide association studiesMatthieu Bouaziz, Christophe Ambroise, Mickael GuedjBMC Bioinformatics|May 9, 2015
Performance of a blockwise approach in variable selection using linkage disequilibrium informationAlia Dehman, Christophe Ambroise, Pierre NeuvialStatistical Applications in Genetics and Molecular Biology|March 4, 2010
Weighted-LASSO for structured network inference from time course dataCamille Charbonnier, Julien Chiquet, Christophe AmbroiseBiometrics|December 22, 2019
A bivariate joint frailty model with mixture framework for survival analysis of recurrent events with dependent censoring and cure fractionRichard Tawiah, Geoffrey J McLachlan, Shu Kay NgPageof 7