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108

David Causeur


My research interests are in statistical methodology for various issues motivated by biological applications. More particularly, the focus of my recent papers is on the handling of dependence in high-dimensional statistical inference.

 

Statistical genomics

Dependence within high-dimensional gene expression profiles generates a strong instability of gene selection in large scale significance analysis. A proper handling of this dependence by latent factor models or more general whitening techniques improves stability of multiple testing procedures and power (see for example Friguet et al, 2009 [JASA], Friguet and Causeur, 2010 [CSDA], Causeur et al, 2011 [JSS], Hornung et al, 2016 [BMC Bioinf.], Hornung et al, 2017 [Bioinf.], Hébert et al, 2021 [CSDA]).

 

Functional data analysis

Functional data are discretized observations of curves. Such data are generated by various technologies such as spectroscopy or electroencephalography (EEG). More and more study designs, such as Event-Related Potentials studies in neuroscience, aim at assessing the relationship between functional data and experimental covariates. Both for signal detection (global testing) and signal identification (search for significant intervals), dependence handling strategies can be designed to be efficient for a given pattern of association signal (see for example Causeur et al, 2012 [BRM], Sheu et al, 2016 [AoAS], Causeur et al, 2020 [Biometrics]).

 

High-dimensional regression and classification modeling

Both in genomic and functional data analysis, estimation of regression and classification models has to deal with a possibly strong dependence within high-dimensional profiles of explanatory variables. Whitening procedures can help stabilizing model selection methods and improve prediction performance (see for example Perthame et al, 2015 [StatCo], Hébert et al, 2021 [Under revision]).

 

Biostatistics

I am involved in various research projects with a diversity of partners in biology, recently for multi-omic data integration issues (see Gondret et al., 2017 [BMC Gen.], Désert et al., 2018 [BMC Gen.]), peptidomics (see Suwareh et al., 2021 [Food Ch.]), electromyographic data analysis (see Comfort et al., 2021 [PACA]), etc.


Journal articles46 documents

  • Florian Hébert, David Causeur, Mathieu Emily. An adaptive decorrelation procedure for signal detection. Computational Statistics and Data Analysis, Elsevier, 2021, 153, pp.107082. ⟨10.1016/j.csda.2020.107082⟩. ⟨hal-02938672⟩
  • Ousmane Suwareh, David Causeur, Julien Jardin, Valérie Briard-Bion, Steven Le Feunteun, et al.. Statistical modeling of in vitro pepsin specificity. Food Chemistry, Elsevier, 2021, 362, pp.130098. ⟨10.1016/j.foodchem.2021.130098⟩. ⟨hal-03248112⟩
  • William Edgar Comfort, Bianca Nunes de Andrade, Tanja Wingenbach, D. Causeur, Paulo Sérgio Boggio. Implicit responses in the judgment of attractiveness in faces with differing levels of makeup.. Psychology of Aesthetics, Creativity, and the Arts, American Psychological Association, 2021, ⟨10.1037/aca0000408⟩. ⟨hal-03403732⟩
  • E. Prado, Christophe Eklouh-Molinier, Florian Enez, David Causeur, C. Blay, et al.. Prediction of fatty acids composition in the rainbow trout Oncorhynchus mykiss by using Raman micro-spectroscopy. Analytica Chimica Acta, Elsevier Masson, 2021, ⟨10.1016/j.aca.2021.339212⟩. ⟨hal-03445774⟩
  • Carole Blay, Pierrick Haffray, Jonathan D’ambrosio, Enora Prado, Nicolas Dechamp, et al.. Genetic architecture and genomic selection of fatty acid composition predicted by Raman spectroscopy in rainbow trout. BMC Genomics, BioMed Central, 2021, 22 (1), pp.788. ⟨10.1186/s12864-021-08062-7⟩. ⟨hal-03432316⟩
  • David Causeur, Ching‐fan Sheu, Emeline Perthame, Flavia Rufini. A functional generalized F‐test for signal detection with applications to event‐related potentials significance analysis. Biometrics, Wiley, 2020, 76 (1), pp.246-256. ⟨10.1111/biom.13118⟩. ⟨hal-02355057⟩
  • H. Aïchi, Y. Fouad, D. Causeur, Christian Walter. Organic Carbon and Total Iron Effect on Soil Vis-SWNIR Spectraand Quantification of Their Contents Using PLS R Models. Communications in Soil Science and Plant Analysis, Taylor & Francis, 2020, 51 (9), pp.1253-1267. ⟨10.1080/00103624.2020.1751187⟩. ⟨hal-02970582⟩
  • Colette Désert, Elisabeth Baéza, Meziane Aite, Morgane Boutin, Aurélie Le Cam, et al.. Multi-tissue transcriptomic study reveals the main role of liver in the chicken adaptive response to a switch in dietary energy source through the transcriptional regulation of lipogenesis. BMC Genomics, BioMed Central, 2018, 19 (1), pp.1-19. ⟨10.1186/s12864-018-4520-5⟩. ⟨hal-01727161⟩
  • Roman Hornung, David Causeur, Christoph Bernau, Anne-Laure Boulesteix. Improving cross-study prediction through addon batch effect adjustment or addon normalization. Bioinformatics, Oxford University Press (OUP), 2017, 33 (3), pp.397-404. ⟨10.1093/bioinformatics/btw650⟩. ⟨hal-01518454⟩
  • Florence Gondret, Annie Vincent, Magalie Houée-Bigot, Anne Siegel, Sandrine Lagarrigue, et al.. A transcriptome multi-tissue analysis identifies biological pathways and genes associated with variations in feed efficiency of growing pigs. BMC Genomics, BioMed Central, 2017, 18 (1), pp.244. ⟨10.1186/s12864-017-3639-0⟩. ⟨hal-01494107⟩
  • Roman Hornung, Anne-Laure Boulesteix, David Causeur. Combining location-and-scale batch effect adjustment with data cleaning by latent factor adjustment. BMC Bioinformatics, BioMed Central, 2016, 17 (1), ⟨10.1186/s12859-015-0870-z⟩. ⟨hal-01286550⟩
  • Emeline Perthame, Chloé Friguet, David Causeur. Stability of feature selection in classification issues for high-dimensional correlated data. Statistics and Computing, Springer Verlag (Germany), 2016, 26 (4), pp.783-796. ⟨10.1007/s11222-015-9569-2⟩. ⟨hal-01256508⟩
  • Yuna Blum, Magalie Houée-Bigot, David Causeur. Sparse factor model for co-expression networks with an application using prior biological knowledge. Statistical Applications in Genetics and Molecular Biology, De Gruyter, 2016, 15 (3), pp.253-272. ⟨10.1515/sagmb-2015-0002⟩. ⟨hal-01340542⟩
  • Ching-Fan Sheu, Emeline Perthame, Yuh-Shiow Lee, David Causeur. Accounting for time dependence in large-scale multiple testing of event-related potential data. Annals of Applied Statistics, Institute of Mathematical Statistics, 2016, 10 (1), pp.219-245. ⟨10.1214/15-AOAS888⟩. ⟨hal-01338701⟩
  • Kéra Nyemb-Diop, David Causeur, Julien Jardin, Valérie Briard-Bion, Catherine Guérin-Dubiard, et al.. Investigating the impact of egg white gel structure on peptide kinetics profile during in vitro digestion. Food Research International, Elsevier, 2016, 88, pp.302 - 309. ⟨10.1016/j.foodres.2016.01.004⟩. ⟨hal-01395012⟩
  • Florence Gondret, Annie Vincent, Magalie Houée-Bigot, Anne Siegel, Sandrine Lagarrigue, et al.. Molecular alterations induced by a high-fat high-fiber diet in porcine adipose tissues: variations according to the anatomical fat location. BMC Genomics, BioMed Central, 2016, 17 (1), pp.120. ⟨10.1186/s12864-016-2438-3⟩. ⟨hal-01286555⟩
  • Kéra Nyemb, Julien Jardin, David Causeur, Catherine Guérin-Dubiard, Didier Dupont, et al.. Investigating the impact of ovalbumin aggregate morphology on in vitro ovalbumin digestion using label-free quantitative peptidomics and multivariate data analysis. Food Research International, Elsevier, 2014, 63, pp.192-202. ⟨10.1016/j.foodres.2014.03.⟩. ⟨hal-01189975⟩
  • Brigitte Gelein, David Haziza, David Causeur. Preserving relationships between variables with MIVQUE based imputation for missing survey data. Journal of Multivariate Analysis, Elsevier, 2014, 131, pp.197-208. ⟨10.1016/j.jmva.2014.06.020⟩. ⟨hal-01111483⟩
  • David Causeur, Mc. Chu, S. Hsieh, C.F. Sheu. A factor-adjusted multiple testing procedure for ERP data analysis. Behavior Research Methods, Psychonomic Society, Inc, 2012, 44 (3), pp.635-643. ⟨10.3758/s13428-012-0230-0⟩. ⟨hal-00841113⟩
  • Nuria Mach, Yuna Blum, A. Bannink, David Causeur, M. Houee-Bigot, et al.. Pleiotropic effects of polymorphism of the gene diacylglycerol-O-transferase 1 (DGAT1) in the mammary gland tissue of dairy cows. Journal of Dairy Science, American Dairy Science Association, 2012, 95 (9), pp.4989-5000. ⟨10.3168/jds.2012-5348⟩. ⟨hal-00841015⟩
  • David Causeur, Chloé Friguet, Magali Houee-Bigot, Maela Kloareg. Factor Analysis for Multiple Testing (FAMT): An R Package for Large-Scale Significance Testing under Dependence. Journal of Statistical Software, University of California, Los Angeles, 2011, 40 (14), pp.19. ⟨hal-00730155⟩
  • Chloé Friguet, David Causeur. Estimation of the proportion of true null hypotheses in high-dimensional data under dependence. Computational Statistics and Data Analysis, Elsevier, 2011, 55 (9), pp.2665-2676. ⟨10.1016/j.csda.2011.03.016⟩. ⟨hal-00609085⟩
  • Yuna Blum, Guillaume Le Mignon, David Causeur, Olivier Filangi, Colette Désert, et al.. Complex trait subtypes identification using transcriptome profiling reveals an interaction between two QTL affecting adiposity in chicken. BMC Genomics, BioMed Central, 2011, 12 (november), pp.8. ⟨10.1186/1471-2164-12-567⟩. ⟨hal-00730144⟩
  • Valérie Caffier, Frederique Didelot, Besnik Pumo, D. Causeur, Charles Eric Durel, et al.. Aggressiveness of eight Venturia inaequalis isolates virulent or avirulent to the major resistance gene Rvi6 on a non-Rvi6 apple cultivar. Plant Pathology, Wiley, 2010, 59 (6), pp.1072-1080. ⟨10.1111/j.1365-3059.2010.02345.x⟩. ⟨hal-02659116⟩
  • D. Causeur. Exact Distribution of the Regression Estimator in Double Sampling. Statistics, Taylor & Francis: STM, Behavioural Science and Public Health Titles, 2010, 32 (4), pp.297-315. ⟨10.1080/02331889908802671⟩. ⟨hal-03403925⟩
  • Yuna Blum, Guillaume Le Mignon, Sandrine Lagarrigue, David Causeur. A factor model to analyze heterogeneity in gene expression.. BMC Bioinformatics, BioMed Central, 2010, 11 (368), pp.368. ⟨10.1186/1471-2105-11-368⟩. ⟨hal-00729426⟩
  • E. Cutullic, Luc Delaby, David Causeur, G. Michel, Catherine Disenhaus. Hierarchy of factors affecting behavioural signs used for oestrus detection of Holstein and Normande dairy cows in a seasonal calving system.. Animal Reproduction Science, Elsevier Masson, 2009, 113 (1-4), pp.22-37. ⟨10.1016/j.anireprosci.2008.07.001⟩. ⟨hal-00730123⟩
  • David Causeur, Maela Kloareg, Chloé Friguet. Control of the FWER in multiple testing under dependence. Communications in Statistics - Theory and Methods, Taylor & Francis, 2009, 38 (16 et 17), pp.2733 - 2747. ⟨10.1080/03610910902936281⟩. ⟨hal-00458161⟩
  • Chloé Friguet, Maela Kloareg, David Causeur. A factor model approach to multiple testing under dependence. Journal of the American Statistical Association, Taylor & Francis, 2009, 104 (488), pp.1406-1415. ⟨10.1198/jasa.2009.tm08332⟩. ⟨hal-00458049⟩
  • Erwan Cutullic, Luc Delaby, David Causeur, Guillaume Michel, Catherine Disenhaus. Hierarchy of factors affecting behavioural signs used for oestrus detection of Holstein and Normande dairy cows in a seasonal calving system. Animal Reproduction Science, Elsevier Masson, 2009, 113 (1-4), pp.22-37. ⟨hal-00458214⟩
  • Maela Kloareg, David Causeur. Double-sampling designs to reduce the non-discoveryrate. Application to microarray data. Journal of Data Science, Columbia University, New York, 2009, 7 (2), pp.219-234. ⟨hal-00459271⟩
  • Wilfried Ablain, Sylvie Hallier Soulier, David Causeur, Michel Gautier, Florence Baron. A simple and rapid method for the disruption of Staphylococcus aureus, optimized for quantitative reverse transcriptase applications : Application for the examination of Camembert cheese. Dairy Science & Technology, EDP sciences/Springer, 2009, 89 (1), p.69. ⟨hal-00458180⟩
  • Wilfried Ablain, Sylvie Hallier Soulier, David Causeur, Michel Gautier, Florence Baron. A simple and rapid method for the disruption of Staphylococcus aureus, optimized for quantitative reverse transcriptase applications: Application for the examination of Camembert cheese. Dairy Science & Technology, EDP sciences/Springer, 2009, 89 (1), pp.69-81. ⟨hal-00895694⟩
  • Wilfried Ablain, Sylvie Hallier Soulier, David Causeur, Florence Baron. A simple and rapid method for the disruption of Staphylococcus aureus, optimized for quantitative reverse transcriptase applications: Application for the examination of Camembert cheese. Dairy Science & Technology, EDP sciences/Springer, 2009, 89, pp.69-81. ⟨10.1051/dst/2008034⟩. ⟨hal-01454051⟩
  • David Causeur, François Husson. Power of double-sampling tests for general linear hypotheses. Statistics, Taylor & Francis: STM, Behavioural Science and Public Health Titles, 2008, 42 (2), pp.115-125. ⟨10.1080/02331880701597552⟩. ⟨hal-00360386⟩
  • David Causeur, François Husson. Asymptotic power of double-sampling tests for general linear hypothesis. Statistics A Journal of Theoretical and Applied Statistics, 2008, 42 (2), pp.115-125. ⟨hal-00466877⟩
  • David Causeur. MIVQUE and maximum likelihood estimation for multivariate linear models with incomplete observations. Sankhya: The Indian Journal of Statistics, Indian Statistical Institute, 2006, 68 (3), pp.408-434. ⟨hal-00459325⟩
  • François Husson, D. Causeur. A 2-dimensional extension of the Bradley–Terry model for paired comparisons. Journal of Statistical Planning and Inference, Elsevier, 2005, 135 (2), pp.245-259. ⟨10.1016/j.jspi.2004.05.008⟩. ⟨hal-03391761⟩
  • D. Causeur, Thierry Dhorne, Arlette Antoni. A two-way analysis of variance model with positive definite interaction for homologous factors. Journal of Multivariate Analysis, Elsevier, 2005, 95 (2), pp.431-448. ⟨10.1016/j.jmva.2004.07.006⟩. ⟨hal-03403807⟩
  • D. Causeur, François Husson. A 2-dimensional extension of the Bradley–Terry model for paired comparisons. Journal of Statistical Planning and Inference, Elsevier, 2005, 135 (2), pp.245-259. ⟨10.1016/j.jspi.2004.05.008⟩. ⟨hal-03403895⟩
  • D. Causeur. Optimal sampling from concomitant variables for regression problems. Journal of Statistical Planning and Inference, Elsevier, 2005, 128 (1), pp.289-301. ⟨10.1016/j.jspi.2003.11.003⟩. ⟨hal-03403783⟩
  • Stéphanie Ledauphin, Evelyne Vigneau, David Causeur. Functional Approach for the analysis of time intensity curves using B-splines. Journal of Sensory Studies, Wiley, 2005, 20 (4), pp.285-300. ⟨hal-02672510⟩
  • David Causeur, Thierry Dhorne. Linear regression models under conditional independence restrictions. Scandinavian Journal of Statistics, Wiley, 2003. ⟨hal-03403908⟩
  • D. Causeur, Thierry Dhorne. Finite Sample Properties of a Multivariate Extension of Double Regression. Biometrics, Wiley, 1998, 54 (4), pp.1591. ⟨10.2307/2533683⟩. ⟨hal-03403953⟩
  • David Causeur. Plan d'échantillonnage en plusieurs phases pour la réduction des coûts expérimentaux en régression linéaire. Revue de Statistique Appliquée, Société française de statistique, 1998. ⟨hal-03403945⟩
  • Jean-Yves Dourmad, M. Etienne, Jean Noblet, D. Causeur. Prédiction de la composition chimique des truies reproductrices à partir du poids vif et de l'épaisseur de lard dorsal : Application à la définition des besoins énergétiques. Journees de la Recherche Porcine en France, 1997, 29, pp.255-262. ⟨hal-02692331⟩

Conference papers51 documents

  • Ousmane Suwareh, David Causeur, Julien Jardin, Valérie Briard-Bion, Steven Le Feunteun, et al.. Statistical modeling of in vitro pepsin specificity. Virtual International Conference on Food Digestion, Cost Infogest, May 2021, Virtual International Conference on Food Digestion (#VICFD2021) on 6-7th May 2021., France. ⟨hal-03220832⟩
  • Ousmane Suwareh, David Causeur, Francoise Nau. Statistical modelling of in vitro pepsinolysis using peptidomic data. Journées Scientifiques de l'ED EGAAL 2021, L’école doctorale « Écologie, Géosciences, Agronomie, ALimentation, Jun 2021, Rennes, France. ⟨hal-03318607⟩
  • E. Prado, Christophe Eklouh-Molinier, Florian Enez, C. Blay, Mathilde Dupont-Nivet, et al.. Prediction of fatty acids in the rainbow trout Oncorhynchus mykiss: a Raman scattering spectroscopy approach. 22. International Conference on Transparent Optical Networks (ICTON), Jul 2020, Bari, Italy. pp.1-4, ⟨10.1109/ICTON51198.2020.9203514⟩. ⟨hal-02948337⟩
  • Florian Hébert, Mathieu Emily, David Causeur. Décorrélation adaptative pour la prédiction en grande dimension. 51es Journées de Statistique 2019, Société Française de Statistique, Jun 2019, Nancy, France. ⟨hal-02361735⟩
  • Ousmane Suwareh, Francoise Nau, David Causeur. Identification of the physicochemical characteristics of peptides that influence their hydrolysis by pepsin. Workshop Infogest statistical treatment of peptidomic data, Institut National de Recherche Agronomique (INRA). UMR UMR INRA / AgroCampus Rennes : Science et Technologie du Lait et de l'?uf (1253)., Dec 2019, Lyon, France. ⟨hal-02737436⟩
  • Brigitte Gelein, David Haziza, David Causeur. PROPENSITY WEIGHTING FOR SURVEY NONRESPONSE THROUGH MACHINE LEARNING. 13es Journées de méthodologie statistique de l'Insee (JMS), Jun 2018, Paris, France. ⟨hal-02076739⟩
  • Florence Gondret, Annie Vincent, Magalie Houee, Anne Siegel, Sandrine Lagarrigue, et al.. Identification des fonctions biologiques, spécifiques d’un tissu ou partagées entre tissus, associées aux différences d’efficacité alimentaire chez le porc en croissance. 49. Journées de la Recherche Porcine, Jan 2017, Paris, France. pp.13-18. ⟨hal-01602699⟩
  • Emeline Perthame, David Causeur, Ching-Fan Sheu, Chloé Friguet. Variable selection for correlated data in high dimension using decorrelation methods. Statlearn: Challenging problems in statistical learning, Apr 2016, Vannes, France. ⟨hal-01310571⟩
  • Florence Gondret, Isabelle Louveau, Magalie Houee, David Causeur, Anne Siegel. Data integration: How unraveling the various data obtained in different tissues and possibly in different experiments on RFI lines in a comprehensive manner ?. Meeting INRA-ISU, Mar 2015, Ames, United States. 11 diapositives. ⟨hal-01210940⟩
  • Emeline Perthame, Ching-Fan Sheu, David Causeur, Yuh-Shiow Lee. Dealing with long-time range dependence in large-scale multiple testing of Event-Related Potentials data. 46e Journées de Statistique, Société Française de Statistique, Jun 2014, Rennes, France. ⟨hal-01167092⟩
  • Emeline Perthame, Chloé Friguet, David Causeur. FADA: an R package for variable selection in supervised classification of strongly dependent data. useR!2014, UCLA Statistics Department; Foundation for Open Access Statistics; Los Angels R user group, Jun 2014, Los Angeles, United States. ⟨hal-01167304⟩
  • Emeline Perthame, David Causeur, Ching-Fan Sheu. ERP: an R package for Event-Related Potentials data analysis. useR!2014, UCLA Statistics Department; Foundation for Open Access Statistics; Los Angels R user group, Jun 2014, Los Angeles, United States. ⟨hal-01167321⟩
  • Anne Blum, Magalie Houee, Aldons J. Lusis, Sandrine Lagarrigue, David Causeur. Sparse factor model for gene co-expression networks. BioNetVisA Workshop, Sep 2014, Strasbourg, France. ⟨hal-01210988⟩
  • Mathieu Emily, David Causeur. Generalized linear factor modeling for dependence between SNPs in GWAS. Statistical fort Genomic Data (SMPGD'13), Jan 2013, Amsterdam, Netherlands. ⟨hal-01451794⟩
  • Emeline Perthame, Chloé Friguet, David Causeur. Stabilité de la sélection de variables pour la classification de données en grande dimension. 45 èmes Journées de Statistique, May 2013, Toulouse, France. ⟨hal-00913047⟩
  • Yuna Blum, M. Houée, David Causeur. Sparse factor models for gene co-expression networks.. Séminaire de Biostatistiques, Dec 2012, Toulouse (FR), France. non paginé. ⟨hal-00841019⟩
  • Yuna Blum, M. Houée, David Causeur. Inférence de réseaux de co-expression génique. 10ème Journée Biogenouest, Nov 2012, Rennes (FR), France. non paginé. ⟨hal-00841018⟩
  • Yuna Blum, Magali Houée, Chloé Friguet, Sandrine Lagarrigue, David Causeur. Inferring gene networks using a sparse factor model approach, Statistical Learning and Data Science. Learning and Data Science, May 2012, Florence (IT), Italy. ⟨hal-00841017⟩
  • Anne Blum, Magalie Houee, Chloé Friguet, Sandrine Lagarrigue, David Causeur. Inferring gene networks using a sparse factor model approach. Statistical learning and data science, May 2012, Florence, Italy. 12 p. ⟨hal-02806777⟩
  • Yuna Blum, Magalie Houée, Chloé Friguet, Sandrine Lagarrigue, David Causeur. Genetic analysis of a complex trait using transcriptomic data: contribution of gene regulatory network modeling. XX. Conference of the plant & animal genome (PAG), Jan 2012, San Diego, United States. 1 p. ⟨hal-00841103⟩
  • David Causeur, Sébastien Lê. Integrating biological knowledge in gene expression data analysis. ISI 2011, Aug 2011, Dublin (IE), Ireland. non paginé. ⟨hal-00842500⟩
  • David Causeur. Feature selection stability in high-dimensional heterogeneous data.. Cladag 2011, Sep 2011, Pavia (IT), Italy. non paginé. ⟨hal-00842499⟩
  • David Causeur. Selection stability for supervised classification of heterogeneous data.. Selection stability for supervised classification of heterogeneous data., Oct 2011, Rennes (FR), France. non paginé. ⟨hal-00842502⟩
  • Yuna Blum, Olivier Demeure, Colette Désert, Hervé Guillou, J Bertrand-Michel, et al.. Integrating QTL controlling fatness, lipid metabolites and gene expressions to genetically dissect the adiposity complex trait in a meat chicken cross. 62. Annual Meeting of the European Association for Animal Production (EAAP), Aug 2011, Stavanger, Norway. ⟨hal-02748764⟩
  • Yuna Blum, Guillaume Le Mignon, F. Pitel, David Causeur, Olivier Demeure, et al.. Transcriptome profiling reveals interaction between two QTL for fatness in chicken. 15th European workshop on QTL mapping and marker assisted selection (QTLMAS), May 2011, Rennes (FR), France. 1 p. ⟨hal-00841016⟩
  • Magalie Houée-Bigot, Chloé Friguet, Sandrine Lagarrigue, Anne Blum, David Causeur. Large-scale significance testing of high thoroughput Data with FAMT. 14. Conference of the Applied Stochastic Models and Data Analysis International Society, Jun 2011, Rome, Italy. ⟨hal-02746752⟩
  • Nuria Mach, Yuna Blum, David Causeur, Sandrine Lagarrigue, M. A. Smits. Effect of the gene diacylglycerol-O-transferase 1 (DGAT1) polymorphism on the global expression pattern of genes in the mammary gland tissue of dairy cows. 62. Annual Meeting of the European Federation of Animal Science (EAAP), Aug 2011, Stavanger, Norway. ⟨hal-02747109⟩
  • Yuna Blum, Sandrine Lagarrigue, David Causeur. A factor model to analyze heterogeneity in gene expression in a context of QTL mapping. 8th workshop " Statistical Methods for Post-Genomic Data ", Jan 2010, Marseille, France. ⟨hal-00459362⟩
  • Yuna Blum, Chloé Friguet, Sandrine Lagarrigue, David Causeur. Inférence sur réseaux géniques par Analyse en Facteurs. 42èmes Journées de Statistique, 2010, Marseille, France, France. ⟨inria-00494802⟩
  • Maela Kloareg, Chloé Friguet, David Causeur. Factor Analysis for Multiple Testing (FAMT) : an R package for simultaneous tests under dependence in high-dimensional data. UseR!2009. Agrocampus, Jul 2009, Rennes, France. ⟨hal-00461700⟩
  • Maela Kloareg, Chloé Friguet, David Causeur. Factor Analysis for Multiple Testing: an R-package to analyze a genome-scale dataset. Workshop « Statistical advances in Genome-scale Data Analysis », May 2009, Ascona, Switzerland. ⟨hal-00459370⟩
  • Chloé Friguet, David Causeur. Estimation of the proportion of null p-values among dependent tests. Petersburg Workshop on Simulation, Jun 2009, St Petersburg, Russia. ⟨hal-00461648⟩
  • David Causeur, Chloé Friguet. Conditional Fdr estimation based on a factor analytic approach of multiple testing. Workshop on Simulation, Jun 2009, St Petersburg, Russia. ⟨hal-00461697⟩
  • Chloé Friguet, Maela Kloareg, David Causeur. Factor Analysis for Multiple Testing: a general approach for differential analysis of genome-scale dependent data. Workshop on Statistical advances in Genome-scale Data Analysis, May 2009, Ascona, Switzerland. ⟨hal-00461632⟩
  • Chloé Friguet, David Causeur. Estimation conditionnelle de la proportion d'hypotheses nulles en grande dimension. 41èmes Journées de Statistiques, Société Française de Statistiques, May 2009, Bordeaux, France. ⟨hal-00461645⟩
  • Chloé Friguet, David Causeur. Estimation conditionnelle de la proportion d'hypothèses nulles en grande dimension. 41èmes Journées de Statistique, SFdS, Bordeaux, 2009, Bordeaux, France, France. ⟨inria-00386591⟩
  • Chloé Friguet, David Causeur. Multiple tests for high-throughput data assuming a factor modeling of dependence. 40th Journées de Statistiques (Société Française de Statistiques) / joint with Société Statistique, May 2008, Ottawa, Canada. ⟨hal-00461705⟩
  • David Causeur, Maela Kloareg, Chloé Friguet. Impact of Dependence on the Stability of Model Selection in Supervised Classification for High-Throughput Data. International Indian Statistical Association (IISA) Conference on Frontiers of Probability and Statistical Science, May 2008, Storrs, United States. ⟨hal-00461704⟩
  • Maela Kloareg, David Causeur. Improving supervised classification for high dimensional data by adding external information. Application to microarray data. Annual conference of the Société française de Statistique (SFdS) and the Statistical Society of Canada (SSC), May 2008, Ottawa, Canada. ⟨hal-00461717⟩
  • Chloé Friguet, David Causeur. Approche conditionnelle des tests multiples pour données biologiques à haut-débit. 7ème Journée Jeunes Chercheurs (Société Française de Biométrie). INSERM, Dec 2008, Villejuif, France. ⟨hal-00461708⟩
  • Chloé Friguet, David Causeur. Accounting for a factor structure in high-dimensional data to improve multiple testing procedures. 6th workshop on Statistical Methods for Post-Genomic Data. Agrocampus, Feb 2008, Rennes, France. ⟨hal-00461702⟩
  • Jocelyne Guinard-Flament, D. Causeur, Eloise Delamaire. Variations in mammary extraction of nutrients under the effect of a 36-h milk accumulation into the udder in dairy cows. 2. International Symposium on Energy and protein metabolism and nutrition ISEP, Sep 2007, Vichy, France. ⟨hal-02757430⟩
  • Maela Kloareg, David Causeur, M. Damon. Reducing the Non-Discovery Rate by use of auxiliary variables in microarray experiments. 5th Workshop: Statistical methods for post-genomic data, Jan 2007, Paris, France. ⟨hal-00461724⟩
  • Maela Kloareg, David Causeur. Improving type II error rates of multiple tests by use of auxiliary variables. Application to microarray data. XIIth International conference on Applied Stochastic Models andData Analysis (ASMDA2007), May 2007, Chania, Greece. ⟨hal-00461712⟩
  • Maela Kloareg, David Causeur, Marie Damon. Reducing the non-discovery rate by use of auxiliary variables in microarray experiments. 5. Workshop Statistical Methods for Post-Genomic Data (SMPGD), Jan 2007, Paris, France. 2 p. ⟨hal-02818987⟩
  • Erwan Cutullic, Luc Delaby, D. Causeur, Catherine Disenhaus. Facteurs de variation de la détection des chaleurs chez la vache laitière conduite en vêlages groupés. 13. Rencontres Recherches Ruminants, Dec 2006, Paris, France. ⟨hal-02755093⟩
  • Erwan Cutullic, Luc Delaby, David Causeur, Catherine Disenhaus. Facteurs de variation de la détection des chaleurs chez la vache laitière conduite en vêlages groupés. XIIIè Rencontres recherche ruminants, Dec 2006, Paris, France. ⟨hal-00461729⟩
  • J. Le Dividich, Yannick Le Cozler, David Causeur. Maximizing piglet survival. 57th Annual Meeting of the European Association for Animal Production, Sep 2006, Antalya, Turkey. ⟨hal-00461746⟩
  • Jean Le Dividich, Yannick Le Cozler, D. Causeur. Maximising piglet survival. 57. Annual Meeting of the European Association for Animal Production, Sep 2006, Antalya, Turkey. ⟨hal-02754310⟩
  • Jean-Yves Dourmad, M. Etienne, Jean Noblet, D. Causeur. Prédiction de la composition chimique des truies reproductrices à partir du poids vif et de l'épaisseur de lard dorsal : Application à la définition des besoins énergétiques. 29. Journées de la recherche porcine en France, Feb 1997, Paris, France. ⟨hal-02841306⟩
  • D. Causeur, T. Dhorne. Prediction sur matrices de distances. Journees de Statistique, May 1993, Vannes, France. ⟨hal-02779050⟩

Poster communications8 documents

  • Florence Gondret, Annie Vincent, Magalie Houee, Sandrine Lagarrigue, Anne Siegel, et al.. Integrative responses of pig adipose tissues to high-fat high-fiber diet: towards key regulators of energy flexibility. ASAS/ADSA midwest meeting, Mar 2015, Des Moines, United States. Journal of Animal Science, 93 (Suppl. 2), 2015, Abstract book of the ASAS/ADSA midwest meeting. ⟨hal-01210925⟩
  • Kéra Nyemb, Julien Jardin, David Causeur, Catherine Guérin-Dubiard, Didier Dupont, et al.. How food protein structure can modulate the protein digestion behaviour: Evaluation by nutritional peptidomics. Food Structure and Functionality Forum Symposium from Molecules to Functionality, Mar 2014, Amsterdam, Netherlands. 2014. ⟨hal-01189918⟩
  • Anne Blum, Magalie Houee, Sandrine Lagarrigue, David Causeur. The R package FANet: sparse factor analysis model for high dimensional gene co-expression networks. The International R Users Conference, Jun 2014, Los Angeles, United States. 2014, UserR contributed abstracts. ⟨hal-01211038⟩
  • Anne Lehébel, David Causeur. Factor modelling of multiple time series to detect temporal variations in common dynamics. 4. Channel Network Conference - IBS (International Biometry Society), Jul 2013, Saint Andrews, United Kingdom. 2013. ⟨hal-02805490⟩
  • Kéra Nyemb, Julien Jardin, David Causeur, Catherine Guérin-Dubiard, Didier Dupont, et al.. Quantitative Mass Spectrometry for nutritional peptidomics Evaluating the impact of food processing by multivariate statistical approaches. EUPA 2013, Oct 2013, Saint-Malo, France. 2013. ⟨hal-01209499⟩
  • Anne Blum, Magalie Houee, Chloé Friguet, Sandrine Lagarrigue, David Causeur. Genetic analysis of a complex trait using transcriptomic data: contribution of gene regulatory network modeling. XX. Conference of the plant & animal genome (PAG), Jan 2012, San Diego, United States. 2012. ⟨hal-02806842⟩
  • Yuna Blum, Guillaume Le Mignon, Colette Désert, Frédérique Pitel, David Causeur, et al.. Transcriptome profiling reveals interaction between two QTL for fatness in chicken. XXXII International Conference on Animal Genetics (ISAG), Jul 2010, Edinburgh, United Kingdom. 2010, Proceedings of the 32nd International Conference on Animal Genetics. ⟨hal-02754276⟩
  • Yuna Blum, Sandrine Lagarrigue, David Causeur. A factor model to analyse heterogeneity in gene expression in a context of QTL characterization. XXXII International Conference on Animal Genetics (ISAG), Jul 2010, Edinburgh, United Kingdom. 2010, Proceedings of the 32nd International Conference on Animal Genetics. ⟨hal-02754275⟩

Book sections1 document

  • Maela Kloareg, David Causeur. Improving Type-II error rates of multiple testing procedures by use of auxiliary variables. Application to microrray data. Recent advances in Stochastic Modelling and data Analysis, World Scientific, pp.645-xx, 2007. ⟨hal-00459319⟩

Preprints, Working Papers, ...2 documents

  • Emeline Perthame, Ching-Fan Sheu, David Causeur. Signal identification in ERP data by decorrelated Higher Criticism Thresholding. 2016. ⟨hal-01310739⟩
  • Arthur Charpentier, David Causeur. Large-scale significance testing of the full Moon effect on deliveries. 2009. ⟨hal-00482743⟩