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61

Céline DELMAS


Phone: +33561285071

Website: https://miat.inrae.fr/site/Céline_DELMAS

Professional address: INRAE, MIAT, 24 chemin de Borde Rouge – Auzeville-Tolosane CS 52627 31327 Castanet Tolosan Cedex - France

Short Bio

2013-present: Researcher at INRAE in the Applied Mathematics and Informatics Unit, Toulouse, France

2004-2013: Researcher at INRAE in the Animal Genetics division, GenPhySE Laboratory, Toulouse, France (Association studies – Genomic selection)

2001-2004: Researcher at INRAE in the Animal Genetics division, SGQA Laboratory, Jouy-en-Josas, France (Mixed-effects models)

2001: Ph.D degree in Probability and Statistics from Paul Sabatier University (Gaussian random fields and their applications in Statistics)

1997: Engineer degree from the Institut National des Sciences Appliquées de Toulouse (INSA, Toulouse)

Main activities (since 2018)

Research interest

Gaussian random fields, mean number and correlation of their critical points, Kac-Rice formula.
Gaussian matrices, distribution of their eigenvalues.
Application of probability, statistics and machine learning to the study of physico-chemistry problems.
Application of probability and statistics to association studies and genomic selection.

Teaching

Bayesian Statistics - Master 2 MSE (Modélisation des Systèmes Ecologiques) et EE (Ecologie et Evolution) Paul Sabatier University - 18h / year since 2019.
Inferential Statistics - Licence MIASHS (Mathématiques et Informatique Appliquées aux Sciences Humaines et Sociales) Toulouse Jean Jaurès University - 32h / year (2018-2020).


Journal articles22 documents

  • Charles-Elie Rabier, Céline Delmas. The SgenoLasso and its cousins for selective genotyping and extreme sampling: application to association studies and genomic selection. Statistics, Taylor & Francis: STM, Behavioural Science and Public Health Titles, 2021, 55 (1), pp.18-44. ⟨10.1080/02331888.2021.1881785⟩. ⟨hal-03394370⟩
  • Charles-Elie Rabier, Céline Delmas. The SgenoLasso and its cousins for selective genotyping and extreme sampling: application to association studies and genomic selection. Statistics, Taylor & Francis: STM, Behavioural Science and Public Health Titles, 2021, 55 (1). ⟨hal-02123295v5⟩
  • Charles-Elie Rabier, Jean-Marc Azaïs, Jean Michel Elsen, Céline Delmas. Chi-square processes for gene mapping in a population with family structure. Statistical Papers, Springer Verlag, 2019, 60 (1), pp.239-271. ⟨10.1007/s00362-016-0835-y⟩. ⟨hal-02619068⟩
  • Zhihua Zhao, Zhiqin Zheng, Clément Roux, Céline Delmas, Jean-Daniel Marty, et al.. Importance of the correlation between width and length in the shape analysis of nanorods: Use of a 2D size plot to probe such a correlation. Chemistry - A European Journal, Wiley-VCH Verlag, 2016, 22 (35), pp.12424-12429. ⟨10.1002/chem.201601837⟩. ⟨hal-01936037⟩
  • Xuange Zhao, Olivier Coutelier, Hanh Hong Nguyen, Céline Delmas, Mathias Destarac, et al.. Effect of copolymer composition of RAFT/MADIX-derived N-vinylcaprolactam/N-vinylpyrrolidone statistical copolymers on their thermoresponsive behavior and hydrogel properties. Polymer Chemistry, Royal Society of Chemistry - RSC, 2015, 6 (29), pp.5233-5243. ⟨10.1039/c5py00606f⟩. ⟨hal-02195587⟩
  • David Simoncini, David Allouche, Simon de Givry, Céline Delmas, Sophie Barbe, et al.. Guaranteed Discrete Energy Optimization on Large Protein Design Problems. Journal of Chemical Theory and Computation, American Chemical Society, 2015, 11 (12), pp.5980 - 5989. ⟨10.1021/acs.jctc.5b00594⟩. ⟨hal-02637306⟩
  • Jean-Marc Azaïs, Céline Delmas, Charles-Elie Rabier. Likelihood Ratio Test process for Quantitative Trait Locus detection. Statistics, Taylor & Francis: STM, Behavioural Science and Public Health Titles, 2014. ⟨hal-00483171v4⟩
  • Jean-Marc Azaïs, Céline Delmas, Charles-Elie Rabier. Likelihood ratio test process for quantitative trait locus detection. Statistics, Taylor & Francis: STM, Behavioural Science and Public Health Titles, 2014, 48 (4), pp.787-801. ⟨10.1080/02331888.2012.760093⟩. ⟨hal-02634614⟩
  • Florence Jaffrézic, Dirk-Jan de Koning, Paul J. Boettcher, Agnès Bonnet, Bart Buitenhuis, et al.. Analysis of the real EADGENE data set: Comparison of methods and guidelines for data normalisation and selection of differentially expressed genes (Open Access publication). Genetics Selection Evolution, BioMed Central, 2007, 39 (6), pp.633-650. ⟨hal-00894624⟩
  • Peter Sørensen, Agnès Bonnet, Bart Buitenhuis, Rodrigue Closset, Sébastien Dejean, et al.. Analysis of the real EADGENE data set: Multivariate approaches and post analysis (Open Access publication). Genetics Selection Evolution, BioMed Central, 2007, 39 (6), pp.651-668. ⟨hal-00894625⟩
  • Peter Sorensen, Agnès Bonnet, Bart Buitenhuis, Rodrigue Closset, Sébastien Dejean, et al.. Analysis of the real EADGENE data set : Multivariate approaches and post analysis. Genetics Selection Evolution, BioMed Central, 2007, 39 (6), pp.651-668. ⟨hal-02658153⟩
  • Dirk-Jan Koning, Florence Jaffrézic, Mogens Sando Lund, Michael Watson, Caroline Channing, et al.. The EADGENE microarray data analysis workshop. Genetics Selection Evolution, BioMed Central, 2007, 39 (6), pp.621-631. ⟨10.1051/gse:2007028⟩. ⟨hal-02657978⟩
  • Dirk-Jan de Koning, Florence Jaffrézic, Mogens Sandø Lund, Michael Watson, Caroline Channing, et al.. The EADGENE Microarray Data Analysis Workshop (Open Access publication). Genetics Selection Evolution, BioMed Central, 2007, 39 (6), pp.621-631. ⟨hal-00894623⟩
  • Michael Watson, Mónica Pérez-Alegre, Michael Denis Baron, Céline Delmas, Peter Dovč, et al.. Analysis of a simulated microarray dataset: Comparison of methods for data normalisation and detection of differential expression (Open Access publication). Genetics Selection Evolution, BioMed Central, 2007, 39 (6), pp.669-683. ⟨hal-00894626⟩
  • Florence Jaffrézic, Dirk-Jan Koning, P.J. Boettcher, Agnès Bonnet, Bart Buitenhuis, et al.. Analysis of the real EADGENE data set : Comparison of methods and guidelines for data normalisation and selection of differentially expressed genes. Genetics Selection Evolution, BioMed Central, 2007, 39 (6), pp.633-650. ⟨10.1051/gse:2007029⟩. ⟨hal-02657968⟩
  • Michael Watson, Mónica Pérez-Alegre, Michael Denis Baron, Céline Delmas, Peter Dovč, et al.. Analysis of a simulated microarray dataset : Comparison of methods for data normalisation and detection of differential expression. Genetics Selection Evolution, BioMed Central, 2007, 39 (6), pp.669-683. ⟨hal-02657926⟩
  • Céline Delmas, Jean Louis Foulley. On testing a class of restricted hypotheses. Journal of Statistical Planning and Inference, Elsevier, 2007, 137, pp.1343-1361. ⟨hal-02657544⟩
  • Laurent Bordes, Céline Delmas, Pierre Vandekerkhove. Semiparametric estimation of a two-component mixture model where one component is known. Scandinavian Journal of Statistics, Wiley, 2006, 33 (4), pp.733-752. ⟨hal-02660862⟩
  • Christine Cierco-Ayrolles, Alain Croquette, Céline Delmas. Computing the distribution of the maximum of Gaussian random processes. Methodology and Computing in Applied Probability, Springer Verlag, 2003, 5, pp.427-438. ⟨10.1023/A:1026233412905⟩. ⟨hal-02678872⟩
  • Céline Delmas. Projections on spherical cones, maximum of Gaussien fields and rice's method. Statistics and Probability Letters, Elsevier, 2003, pp.263-270. ⟨10.1016/S0167-7152(03)00170-6⟩. ⟨hal-02678743⟩
  • Jean Louis Foulley, Céline Delmas, Christèle Robert Granié. Méthodes du maximum de vraisemblance en modèle linéaire mixte. Journal de la Société Française de Statistique, Société Française de Statistique et Société Mathématique de France, 2002, 143 (1-2), pp.5-52. ⟨hal-02678011⟩
  • J.M. Azais, Céline Delmas. Asymptotic expansions for the distribution of the maximum of Gaussian random fields.. Extremes, Springer Verlag (Germany), 2002, 5 (2), pp.181-212. ⟨hal-02677858⟩

Conference papers25 documents

  • Céline Delmas. Critical points of isotropic Gaussian fields on the sphere. Conference on random nodal domains, Sep 2021, Rennes, France. ⟨hal-03387980⟩
  • Charles-Elie Rabier, Céline Delmas. The SgenoLasso and its cousins for selective genotyping and extreme sampling. JOBIM (Journées Ouvertes en Biologie, Informatique et Mathématiques), Jul 2021, Paris, France. ⟨hal-03387951⟩
  • Charles-Elie Rabier, Céline Delmas. The Adaptive SgenoLasso, an extended version of the SgenoLasso, for gene mapping and for genomic prediction using the extremes. 52èmes journées de Statistiques de la Société Française de Statistique (SFdS), Jun 2021, Nice, France. ⟨hal-03387969⟩
  • Céline Delmas. Mean number and correlation function of critical points of isotropic Gaussian fields. XV Latin American Congress of Probability and Mathematical Statistics, Dec 2019, Mérida, Mexico. ⟨hal-03285851⟩
  • Céline Delmas, Jean-Marc Azaïs. Répartition des points critiques d'un processus ou champ gaussien isotrope. 51èmes Journées de Statistique de la Société Française de Statistique, Jun 2019, Nancy, France. ⟨hal-03285738⟩
  • Céline Delmas, Charles-Elie Rabier. Modèles de mélange et extrêmes pour la localisation de gènes. 48èmes Journées de Statistiques de la Société Française de Statistique, May 2016, Montpellier, France. ⟨hal-03285789⟩
  • Céline Delmas, Nathalie Peyrard, Regis Sabbadin. MCEM algorithm for the log-Gaussian Cox process. workshop of Spatial Statistics for Image Analysis and Biology, May 2014, Aalborg, Denmark. 32 p. ⟨hal-02739481⟩
  • Céline Delmas, Charles-Elie Rabier. Détection de QTL en interactions. 42èmes Journées de Statistique, 2010, Marseille, France, France. ⟨inria-00494742⟩
  • Charles-Elie Rabier, Jean-Marc Azaïs, Céline Delmas. Processus de tests de rapports de vraisemblance pour la détection de QTL. 42èmes Journées de Statistique, 2010, Marseille, France, France. ⟨inria-00494709⟩
  • Carole Moreno, Bertrand Servin, Thomas Faraut, Christophe Klopp, Rachel Rupp, et al.. Utilisation dune puce 60 000 SNP pour cartographier finement des QTL affectant des caractères de production, de résistance aux maladies et de comportement chez les ovins. 16. Rencontres autour des Recherches sur les Ruminants, Dec 2009, Paris, France. ⟨hal-02755058⟩
  • C.E. Rabier, Céline Delmas, J.M. Elsen. Sur la théorie de la détection de QTL.. Journées Scientifiques, Département de Génétique Animale, Apr 2008, Lacanau. ⟨hal-02752210⟩
  • Carole Moreno, Andres Legarra, David Robelin, Christèle Robert Granié, Rachel Rupp, et al.. Présentation du projet ANR 2008 SheepSNPQTL : utilisation de la puce 60 000 SNP pour la cartographie fine de QTL chez les ovins.. Journées Scientifiques, Département de Génétique Animale, Apr 2008, Lacanau, France. ⟨hal-02813290⟩
  • Isabelle Hue, Severine Degrelle, Evelyne Campion, Céline Delmas, Gilles Caraux, et al.. Dynamics of gene expression in bovine extra-embryonic tissues before placentation. 2. International Meeting on Mammalian Embryogenomics, Oct 2007, Paris, France. ⟨hal-02752280⟩
  • Céline Delmas, Mylene Duval, Christèle Robert-Granié, Kim-Anh Lê Cao, Gwenola Tosser-Klopp, et al.. Two new procedures to detect differentially expressed genes. EADGENE Data Analysis Workshop, Nov 2006, Tune, Denmark. ⟨hal-02812711⟩
  • M. Duval, Severine Degrelle, Céline Delmas, Isabelle Hue, B. Laurent, et al.. A simple procedure to determine differentially expressed genes between several conditions. Workshop Statistique Mathématique et Applications, 13-17 Novembre 2006, Nov 2006, CIRM, pp.Inconnu. ⟨hal-02818702⟩
  • Mylene Duval, Severine Degrelle, Céline Delmas, B. Laurent, Isabelle Hue, et al.. A novel procedure to determine differentially expressed genes between two conditions. 4. Workshop: Statistical methods for post-genomic data, Mar 2006, Toulouse, France. 1 p. ⟨hal-02820023⟩
  • Céline Delmas, L. Bordes, P. Vandekherkove. On mixture models for detecting differentially expressed genes in macroarrays data.. XXIIIrd International Biometric Conference, Jul 2006, Montréal, pp.Inconnu. ⟨hal-02816863⟩
  • Kim-Anh Lê Cao, Magali San Cristobal, Gwenola Tosser-Klopp, Céline Delmas, Mylene Duval, et al.. Gene profile clustering, selection of predictive genes using random forests and a stochastic algorithm, regulatory networks in a transcriptomic kinetics on bovine mastistis. EADGENE Data Analysis Workshop, Nov 2006, Tune, Denmark. pp.Inconnu. ⟨hal-02813420⟩
  • Mylene Duval, Severine Degrelle, Céline Delmas, Isabelle Hue, B. Laurent, et al.. A novel procedure to determine differentially expressed genes between two conditions, and an application to the comparison of two bovine gestation modes. 8. World Congress on Genetics Applied to Livestock Production, Aug 2006, Belo Horizonte, Brazil. 1 p. ⟨hal-02816165⟩
  • L. Bordes, Céline Delmas, P. Vandekherkove. On mixture models for detecting differentially expressed genes in macroarrays data.. Workshop, Statistical methods for post-genomic data, Mar 2006, Workshop, pp.Inconnu. ⟨hal-02816470⟩
  • Severine Degrelle, Evelyne Campion, Céline Delmas, Gilles Caraux, Pascale Roux, et al.. Functional genomics on normal and cloned bovine embryo before implantation. 1. EMBIC (Embryo Implantation Control) Summer School, Jun 2005, Malinska, Croatia. ⟨hal-02760881⟩
  • L. Bordes, Céline Delmas, P. Vandekherkove. Estimation semi-paramétrique d'un mélange à deux composantes dont une composante est connue.. XXXVIIèmes Journées de Statistiques, Jun 2005, Pau, 6 p. ⟨hal-02830613⟩
  • Céline Delmas, Jean Louis Foulley. Tests d'hypothèses restreintes.. XXXVIèmes Journées de Statistique, May 2004, Montpellier, 4 p. ⟨hal-02829352⟩
  • Céline Delmas, Jean Louis Foulley. Tests fondés sur la vraisemblance sous des conditions non standard.. XXXVèmes Journées de Statistique, Jun 2003, Lyon, 4 p. ⟨hal-02832608⟩
  • Céline Delmas, Jean Louis Foulley, Christèle Robert Granié. Further insights into tests of variance components and model selection. 7. World congress on Genetics Applied to Livestock Production, Aug 2002, Montpellier, France. ⟨hal-02761165⟩

Books6 documents

  • Céline Delmas. A note on the asymptotic properties of maximum likehood estimators and likelihood ratio tests under nonstandard conditions. 8 p., 2003. ⟨hal-02834184⟩
  • Christine Cierco Ayrolles, A. Croquette, Céline Delmas. Computing the distribution of the maximum of Gaussien random processes. 16 p., 2003. ⟨hal-02826870⟩
  • Céline Delmas, Jean Louis Foulley, C.R. Granié. Further insights into tests of variance components and model selection. 4 p., 2003. ⟨hal-02826622⟩
  • Céline Delmas. On likelihood ratio tests in Gaussian mixture models. 15 p., 2003. ⟨hal-02825696⟩
  • Céline Delmas. On asymptotic likelihood ratio tests in Gaussian mixture models. 16 p., 2003. ⟨hal-02825182⟩
  • Céline Delmas. DEA de génétique multifactorielle.. Inconnu, 83 p., 2002, Inconnu. ⟨hal-02829581⟩

Directions of work or proceedings1 document

  • Charles-Elie Rabier, Céline Delmas, Jean Michel Elsen. Asymptotic distribution of the likelihood ratio test in QTL detection. 59. Annual Meeting of the European Association for Animal Production, Aug 2008, Vilnius, Lithuania. Wageningen Academic Publishers, pp.133, 2008, 978-90-8686-074-6. ⟨hal-02820462⟩

Preprints, Working Papers, ...7 documents

  • Jean-Marc Azaïs, Céline Delmas. Mean number and correlation function of critical points of isotropic Gaussian fields and some results on GOE random matrices. 2020. ⟨hal-02317445v3⟩
  • Charles-Elie Rabier, Céline Delmas. On gene mapping with the mixture model and the extremes. 2018. ⟨hal-01273783v2⟩
  • Céline Delmas, Charles-Elie Rabier. On interpolations in QTL detection. 2012. ⟨hal-00658592⟩
  • Charles-Elie Rabier, Jean-Marc Azaïs, Jean-Michel Elsen, Céline Delmas. Threshold and power for Quantitative Trait Locus detection. 2010. ⟨hal-00482142⟩
  • Charles-Elie Rabier, Céline Delmas. A new method for Quantitative Trait Loci Detection. 2010. ⟨hal-00610615⟩
  • Charles-Elie Rabier, Jean-Marc Azaïs, Céline Delmas. Likelihood Ratio Test process for Quantitative Trait Loci detection.. 2009. ⟨hal-00421215⟩
  • Mylène Duval, Céline Delmas, Béatrice Laurent, Christèle Robert-Granié. A procedure based on partial sums of order statistics to detect differentially expressed genes. 2007. ⟨hal-00302355⟩