logo umr
Génétique Quantitative et Évolution - Le Moulon
Tristan MARY-HUARD

Tristan MARY-HUARD

Junior Investigator, INRAE

Statistical methods for quantitative genetics

tristan.mary-huard@agroparistech.fr

01 69 33 23 58

orcid.org/0000-0002-3839-9067

Publications

  • Génétique Quantitative et Évolution - Le Moulon
  • INRA - Université Paris-Sud - CNRS - AgroParisTech
  • Ferme du Moulon
  • F-91190 Gif-sur-Yvette

Positions and Education

  • Current: Researcher at INRA, GQE-Le Moulon and MIA Paris
  • 2007-2012: Associate professor in statistics at AgroParisTech
  • 2017: HDR Some contributions to statistical modeling and model selection with applications to genomics and quantitative genetics, Univ. Paris-Sud, 2017
  • 2006: PhD Dimension reduction and model selection for supervised classification, MIA Paris, Univ. Paris-Sud
  • 1998-2001: National School of Statistics and Data Analysis (ENSAI)

#Research Interests

In statistics:

  • Model selection in classification and regression
  • Variable aggregation, variable selection
  • Latent variable models and Mixed models
  • Breakpoint detection

In genomics:

  • Data integration for multi-omics
  • Gene expression/methylation analysis

In quantitative/population genetics:

  • QTL detection
  • Genomic selection
  • Fst estimation

Teaching

  • Classification en grande dimension (avec C. Giraud), M2 Mathématiques pour les Sciences du Vivant (Univ. Paris Sud 11).
  • Statistique pour la génétique, (avec T. Van Dooren and ML. Martin-Magniette), M1 Sciences de la vie (ENS Paris).
  • Modèle linéaire pour l’ingénieur, (avec P. Barbillon), eq. M1 (IFP School).

Book and book chapters:

  • Le modèle linéaire et ses extensions, 2015, Ed. Ellipses (with L. Bel, JJ Daudin, M. Etienne, E. Lebarbier, T. Mary-Huard, S. Robin, C. Vuillet)
  • Introduction to Statistical Methods for Complex Systems, in Handbook of Statistical Systems Biology, 2011, John Wiley & Sons (with S. Robin)
  • Introduction to Statistical Methods for Microarray Data Analysis, in Mathematical and Computational Methods in Biology, 2006, Ed. Hermann: Paris (with F. Picard, S. Robin)

Selected publications

Rio S., Mary-Huard T., Moreau L., Charcosset A. (2019) Genomic selection efficiency and a priori estimation of accuracy in a structured dent maize panel. Theoretical and Applied Genetics, 132 (1), 81-96.

Celisse A. , Mary-Huard T. (2018) Theoretical Analysis of Cross-Validation for Estimating the Risk of the k -Nearest Neighbor Classifier, JMLR, 19(58) :1-54.

Brandenburg J.T., Mary-Huard T., Rigaill G., Hearne S., Corti H., Joets J., Vitte C., Charcosset A., Nicolas S. and Tenaillon M. (2017) Independent introductions and admixtures have contributed to adaptation of European maize and its American counterparts. PLoS genetics, 13(3)

Laporte F., Charcosset A., Mary-Huard T. (2017) Estimation of the relatedness coefficients from biallelic markers, application in plant mating designs, Biometrics

Delatola E.-I., Lebarbier É., Mary-Huard T., Radvanyi F., Robin S., Wong J. (2017) SegCorr : a statistical procedure for the detection of correlated genomic regions. BMC Bioinformatics, 18.

Roux F., Mary-Huard T., Barillot E., Wenesa E., Botrana L., Duranda S., Villoutreix R., Martin-Magniette M.-L., Camilleria C., Budar F.(2016) Cytonuclear interactions affect adaptive traits of the annual plant Arabidopsis thaliana in the field. PNAS

Chiquet J., Mary-Huard T., Robin S. (2016) Structured regularization for conditional Gaussian graphical models. Stat. & Comp., 27(3), 789-804

Publications

Forst E, Enjalbert J, Allard V, Ambroise C, Krissaane I, Mary-Huard T, Robin S, Goldringer I. (2019) A generalized statistical framework to assess mixing ability from incomplete mixing designs using binary or higher order variety mixtures and application to wheat. Field Crops Research, (242) 107571
Rio S, 2019-04-26 26/04/19, Contributions to genomic selection and association mapping in structured and admixed populations : application to maize
Laporte F, 2018-03-13 13/03/18, Développement de méthodes statistiques pour l’identification de gènes d’intérêt en présence d’apparentement et de dominance, application à la génétique du maïs
Mary-Huard T, 2017-06-12 06/12/17, Some contributions to statistical modeling and model selection with applications to genomics and quantitative genetics
Bel L, Daudin JJ, Etienne M, Lebarbier E, Mary-Huard T, Robin S, Vuillet C, Daudin JJ. (2015) Plans d’expérience. , 218-246
Bel L, Daudin JJ, Etienne M, Lebarbier E, Mary-Huard T, Robin S, Vuillet C, Daudin JJ. (2015) Modèle mixte, modélisation de la variance. , 162-189