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Marie-Laure Martin-Magniette

Showing results (1-10 of 65) with videos related to

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Biometrics|February 13, 2009
Variable selection for clustering with Gaussian mixture modelsCathy Maugis, Gilles Celeux, Marie-Laure Martin-Magniette
Bioinformatics (Oxford, England)|January 8, 2015
Co-expression analysis of high-throughput transcriptome sequencing data with Poisson mixture modelsAndrea Rau, Cathy Maugis-Rabusseau, Marie-Laure Martin-Magniette, et al.
Biometrical Journal. Biometrische Zeitschrift|May 18, 2019
Sampling uncertainty versus method uncertainty: A general framework with applications to omics biomarker selectionSimon Klau, Marie-Laure Martin-Magniette, Anne-Laure Boulesteix, et al.
Bioinformatics (Oxford, England)|February 5, 2005
Evaluation of the gene-specific dye bias in cDNA microarray experimentsMarie-Laure Martin-Magniette, Julie Aubert, Eric Cabannes, et al.
The International Journal of Biostatistics|November 30, 2021
Error rate control for classification rules in multiclass mixture modelsTristan Mary-Huard, Vittorio Perduca, Marie-Laure Martin-Magniette, et al.
BMC Bioinformatics|September 11, 2013
MultiChIPmixHMM: an R package for ChIP-chip data analysis modeling spatial dependencies and multiple replicatesCaroline Bérard, Michael Seifert, Tristan Mary-Huard, et al.
Bioinformatics (Oxford, England)|August 12, 2008
ChIPmix: mixture model of regressions for two-color ChIP-chip analysisMarie-Laure Martin-Magniette, Tristan Mary-Huard, Caroline Bérard, et al.
Journal De La Societe Francaise De Statistique (2009)|October 4, 2014
Comparing Model Selection and Regularization Approaches to Variable Selection in Model-Based ClusteringGilles Celeux, Marie-Laure Martin-Magniette, Cathy Maugis-Rabusseau, et al.
Statistical Applications in Genetics and Molecular Biology|October 24, 2012
Unsupervised classification for tiling arrays: ChIP-chip and transcriptomeCaroline Bérard, Marie-Laure Martin-Magniette, Véronique Brunaud, et al.
Plant Methods|May 20, 2020
DiCoExpress: a tool to process multifactorial RNAseq experiments from quality controls to co-expression analysis through differential analysis based on contrasts inside GLM modelsIlana Lambert, Christine Paysant-Le Roux, Stefano Colella, et al.
Pageof 7

Showing results (1-10 of 65) with videos related to

Sort By:
Pageof 7
Biometrics|February 13, 2009
Variable selection for clustering with Gaussian mixture modelsCathy Maugis, Gilles Celeux, Marie-Laure Martin-Magniette
Bioinformatics (Oxford, England)|January 8, 2015
Co-expression analysis of high-throughput transcriptome sequencing data with Poisson mixture modelsAndrea Rau, Cathy Maugis-Rabusseau, Marie-Laure Martin-Magniette, et al.
Biometrical Journal. Biometrische Zeitschrift|May 18, 2019
Sampling uncertainty versus method uncertainty: A general framework with applications to omics biomarker selectionSimon Klau, Marie-Laure Martin-Magniette, Anne-Laure Boulesteix, et al.
Bioinformatics (Oxford, England)|February 5, 2005
Evaluation of the gene-specific dye bias in cDNA microarray experimentsMarie-Laure Martin-Magniette, Julie Aubert, Eric Cabannes, et al.
The International Journal of Biostatistics|November 30, 2021
Error rate control for classification rules in multiclass mixture modelsTristan Mary-Huard, Vittorio Perduca, Marie-Laure Martin-Magniette, et al.
BMC Bioinformatics|September 11, 2013
MultiChIPmixHMM: an R package for ChIP-chip data analysis modeling spatial dependencies and multiple replicatesCaroline Bérard, Michael Seifert, Tristan Mary-Huard, et al.
Bioinformatics (Oxford, England)|August 12, 2008
ChIPmix: mixture model of regressions for two-color ChIP-chip analysisMarie-Laure Martin-Magniette, Tristan Mary-Huard, Caroline Bérard, et al.
Journal De La Societe Francaise De Statistique (2009)|October 4, 2014
Comparing Model Selection and Regularization Approaches to Variable Selection in Model-Based ClusteringGilles Celeux, Marie-Laure Martin-Magniette, Cathy Maugis-Rabusseau, et al.
Statistical Applications in Genetics and Molecular Biology|October 24, 2012
Unsupervised classification for tiling arrays: ChIP-chip and transcriptomeCaroline Bérard, Marie-Laure Martin-Magniette, Véronique Brunaud, et al.
Plant Methods|May 20, 2020
DiCoExpress: a tool to process multifactorial RNAseq experiments from quality controls to co-expression analysis through differential analysis based on contrasts inside GLM modelsIlana Lambert, Christine Paysant-Le Roux, Stefano Colella, et al.
Pageof 7