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portrait de Tristan Mary-Huard

Tristan MARY-HUARD

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Statistical methods for quantitative genetics

♦ UMR MIA Paris, INRA – AgroParisTech
Tel: 01 44 08 86 82

♦ Génétique Quantitative et Évolution - Le Moulon
INRA - Université Paris-Sud - CNRS - AgroParisTech
Ferme du Moulon
F-91190 Gif-sur-Yvette
Tel: 01 69 33 23 58

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ORCID

 

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).
  • Statistique pour la génétique, (avec T. Van Dooren and M-L. 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. DOI: 10.1007/s00122-018-3196-1.

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. http://jmlr.org/papers/v18/15-498.html

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). DOI: 10.1371/journal.pgen.1006666

Laporte F., Charcosse A., Mary-Huard T. (2017) Estimation of the relatedness coefficients from biallelic markers, application in plant mating designs, Biometrics, 73 (3) 885-894. DOI: 10.1111/biom.12634.

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 (1) 333. DOI: 10.1186/s12859-017-1742-5.

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, 113 (13) 3687-92. DOI: 10.1073/pnas.1520687113.

Chiquet J., Mary-Huard T., Robin S. (2016) Structured regularization for conditional Gaussian graphical models. Stat & Comp, 27 (3), 789-804. DOI: 10.1007/s11222-016-9654-1.