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Jean-Louis Foulley

Showing results (1-10 of 13) with videos related to

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Computer Methods and Programs in Biomedicine|June 13, 2009
Modelling and estimating heterogeneous variances in threshold models for ordinal discrete data via Winbugs/OpenbugsJean-Louis Foulley, Florence Jaffrézic
Biometrics|November 17, 2009
Bayesian analysis of growth curves using mixed models defined by stochastic differential equationsSophie Donnet, Jean-Louis Foulley, Adeline Samson
Biometrical Journal. Biometrische Zeitschrift|July 20, 2007
REML estimation of variance parameters in nonlinear mixed effects models using the SAEM algorithmCristian Meza, Florence Jaffrézic, Jean-Louis Foulley
Plos One|August 7, 2010
A Bayesian outlier criterion to detect SNPs under selection in large data setsMathieu Gautier, Toby Dylan Hocking, Jean-Louis Foulley
Genetics, Selection, Evolution : GSE|September 25, 2002
Modelling the growth curve of Maine-Anjou beef cattle using heteroskedastic random coefficients modelsChristèle Robert-Granié, Barbara Heude, Jean-Louis Foulley
Genetics, Selection, Evolution : GSE|November 30, 2006
Genetic analysis of growth curves using the SAEM algorithmFlorence Jaffrézic, Cristian Meza, Marc Lavielle, et al.
Bioinformatics (Oxford, England)|July 25, 2009
Moderated effect size and P-value combinations for microarray meta-analysesGuillemette Marot, Jean-Louis Foulley, Claus-Dieter Mayer, et al.
Statistical Applications in Genetics and Molecular Biology|March 4, 2010
An empirical Bayesian method for estimating biological networks from temporal microarray dataAndrea Rau, Florence Jaffrézic, Jean-Louis Foulley, et al.
Genetical Research|May 23, 2007
A structural mixed model for variances in differential gene expression studiesFlorence Jaffrézic, Guillemette Marot, Séverine Degrelle, et al.
Plos One|August 13, 2009
The genome response to artificial selection: a case study in dairy cattleLaurence Flori, Sébastien Fritz, Florence Jaffrézic, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Computer Methods and Programs in Biomedicine|June 13, 2009
Modelling and estimating heterogeneous variances in threshold models for ordinal discrete data via Winbugs/OpenbugsJean-Louis Foulley, Florence Jaffrézic
Biometrics|November 17, 2009
Bayesian analysis of growth curves using mixed models defined by stochastic differential equationsSophie Donnet, Jean-Louis Foulley, Adeline Samson
Biometrical Journal. Biometrische Zeitschrift|July 20, 2007
REML estimation of variance parameters in nonlinear mixed effects models using the SAEM algorithmCristian Meza, Florence Jaffrézic, Jean-Louis Foulley
Plos One|August 7, 2010
A Bayesian outlier criterion to detect SNPs under selection in large data setsMathieu Gautier, Toby Dylan Hocking, Jean-Louis Foulley
Genetics, Selection, Evolution : GSE|September 25, 2002
Modelling the growth curve of Maine-Anjou beef cattle using heteroskedastic random coefficients modelsChristèle Robert-Granié, Barbara Heude, Jean-Louis Foulley
Genetics, Selection, Evolution : GSE|November 30, 2006
Genetic analysis of growth curves using the SAEM algorithmFlorence Jaffrézic, Cristian Meza, Marc Lavielle, et al.
Bioinformatics (Oxford, England)|July 25, 2009
Moderated effect size and P-value combinations for microarray meta-analysesGuillemette Marot, Jean-Louis Foulley, Claus-Dieter Mayer, et al.
Statistical Applications in Genetics and Molecular Biology|March 4, 2010
An empirical Bayesian method for estimating biological networks from temporal microarray dataAndrea Rau, Florence Jaffrézic, Jean-Louis Foulley, et al.
Genetical Research|May 23, 2007
A structural mixed model for variances in differential gene expression studiesFlorence Jaffrézic, Guillemette Marot, Séverine Degrelle, et al.
Plos One|August 13, 2009
The genome response to artificial selection: a case study in dairy cattleLaurence Flori, Sébastien Fritz, Florence Jaffrézic, et al.
Pageof 2