| Integrative epigenomic mapping defines four main chromatin states in Arabidopsis F Roudier, I Ahmed, C Bérard, A Sarazin, T Mary‐Huard, S Cortijo, ... The EMBO journal 30 (10), 1928-1938, 2011 | 752 | 2011 |
| Methods to estimate effective population size using pedigree data: Examples in dog, sheep, cattle and horse G Leroy, T Mary-Huard, E Verrier, S Danvy, E Charvolin, ... Genetics Selection Evolution 45, 1-10, 2013 | 230 | 2013 |
| Two-dimensional segmentation for analyzing Hi-C data C Lévy-Leduc, M Delattre, T Mary-Huard, S Robin Bioinformatics 30 (17), i386-i392, 2014 | 175 | 2014 |
| Une introduction au critère BIC: fondements théoriques et interprétation É Lebarbier, T Mary-Huard Journal de la Société française de statistique 147 (1), 39-57, 2006 | 155* | 2006 |
| Recovering power in association mapping panels with variable levels of linkage disequilibrium R Rincent, L Moreau, H Monod, E Kuhn, AE Melchinger, RA Malvar, ... Genetics 197 (1), 375-387, 2014 | 98 | 2014 |
| Independent introductions and admixtures have contributed to adaptation of European maize and its American counterparts JT Brandenburg, T Mary-Huard, G Rigaill, SJ Hearne, H Corti, J Joets, ... PLoS genetics 13 (3), e1006666, 2017 | 84 | 2017 |
| Cytonuclear interactions affect adaptive traits of the annual plant Arabidopsis thaliana in the field F Roux, T Mary-Huard, E Barillot, E Wenes, L Botran, S Durand, ... Proceedings of the National Academy of Sciences 113 (13), 3687-3692, 2016 | 73 | 2016 |
| Biases induced by pooling samples in microarray experiments T Mary-Huard, JJ Daudin, M Baccini, A Biggeri, A Bar-Hen Bioinformatics 23 (13), i313-i318, 2007 | 60 | 2007 |
| General and specific combining abilities in a maize (Zea mays L.) test-cross hybrid panel: relative importance of population structure and genetic divergence … A Lariepe, L Moreau, J Laborde, C Bauland, S Mezmouk, L Décousset, ... Theoretical and Applied Genetics 130, 403-417, 2017 | 53 | 2017 |
| Characterizing individual differences in animal responses to a nutritional challenge: Toward improved robustness measures NC Friggens, C Duvaux-Ponter, MP Etienne, T Mary-Huard, P Schmidely Journal of Dairy Science 99 (4), 2704-2718, 2016 | 47 | 2016 |
| Advances in breeding for mixed cropping–incomplete factorials and the producer/associate concept B Haug, MM Messmer, J Enjalbert, I Goldringer, E Forst, T Flutre, ... Frontiers in Plant Science 11, 620400, 2021 | 41 | 2021 |
| Genomic selection efficiency and a priori estimation of accuracy in a structured dent maize panel S Rio, T Mary-Huard, L Moreau, A Charcosset Theoretical and Applied Genetics 132, 81-96, 2019 | 41 | 2019 |
| ChIPmix: mixture model of regressions for two-color ChIP–chip analysis ML Martin-Magniette, T Mary-Huard, C Bérard, S Robin Bioinformatics 24 (16), i181-i186, 2008 | 39 | 2008 |
| Spotting effect in microarray experiments T Mary-Huard, JJ Daudin, S Robin, F Bitton, E Cabannes, P Hilson BMC bioinformatics 5, 1-9, 2004 | 39 | 2004 |
| The INCREASE project: Intelligent Collections of food‐legume genetic resources for European agrofood systems E Bellucci, O Mario Aguilar, S Alseekh, K Bett, C Brezeanu, D Cook, ... The Plant Journal 108 (3), 646-660, 2021 | 38 | 2021 |
| Subclinical endometritis in dairy cattle is associated with distinct mRNA expression patterns in blood and endometrium M Raliou, D Dembélé, A Düvel, P Bolifraud, J Aubert, T Mary-Huard, ... PLoS One 14 (8), e0220244, 2019 | 35 | 2019 |
| Sequence analysis of European maize inbred line F2 provides new insights into molecular and chromosomal characteristics of presence/absence variants A Darracq, C Vitte, S Nicolas, J Duarte, JP Pichon, T Mary-Huard, ... BMC genomics 19, 1-20, 2018 | 34 | 2018 |
| Tailored aggregation for classification T Mary-Huard, S Robin IEEE transactions on pattern analysis and machine intelligence 31 (11), 2098 …, 2009 | 30 | 2009 |
| Improving the use of plant genetic resources to sustain breeding programs’ efficiency D Sanchez, SB Sadoun, T Mary-Huard, A Allier, L Moreau, A Charcosset Proceedings of the National Academy of Sciences 120 (14), e2205780119, 2023 | 27 | 2023 |
| Theoretical Analysis of Cross-Validation for Estimating the Risk of the -Nearest Neighbor Classifier A Celisse, T Mary-Huard Journal of Machine Learning Research 19 (58), 1-54, 2018 | 27* | 2018 |
