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 | 648 | 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), 1-10, 2013 | 177 | 2013 |
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 | 139* | 2006 |
Two-dimensional segmentation for analyzing Hi-C data C Lévy-Leduc, M Delattre, T Mary-Huard, S Robin Bioinformatics 30 (17), i386-i392, 2014 | 138 | 2014 |
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 | 74 | 2014 |
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 | 57 | 2007 |
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 | 54 | 2016 |
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 | 53 | 2017 |
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 | 40 | 2008 |
Spotting effect in microarray experiments T Mary-Huard, JJ Daudin, S Robin, F Bitton, E Cabannes, P Hilson BMC bioinformatics 5 (1), 1-9, 2004 | 37 | 2004 |
General and specific combining abilities in a maize (Zea mays L.) test-cross hybrid panel: relative importance of population structure and genetic divergence between parents A Larièpe, L Moreau, J Laborde, C Bauland, S Mezmouk, L Décousset, ... Theoretical and Applied Genetics 130 (2), 403-417, 2017 | 35 | 2017 |
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 (1), 81-96, 2019 | 29 | 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), 1-20, 2018 | 29 | 2018 |
Tailored aggregation for classification T Mary-Huard, S Robin IEEE transactions on pattern analysis and machine intelligence 31 (11), 2098 …, 2009 | 28 | 2009 |
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 | 26 | 2016 |
Structured regularization for conditional Gaussian graphical models J Chiquet, T Mary-Huard, S Robin Statistics and Computing 27 (3), 789-804, 2017 | 23 | 2017 |
Theoretical analysis of cross-validation for estimating the risk of the k-nearest neighbor classifier A Celisse, T Mary-Huard The Journal of Machine Learning Research 19 (1), 2373-2426, 2018 | 21* | 2018 |
GEM2Net: from gene expression modeling to -omics networks, a new CATdb module to investigate Arabidopsis thaliana genes involved in stress response R Zaag, JP Tamby, C Guichard, Z Tariq, G Rigaill, E Delannoy, JP Renou, ... Nucleic acids research 43 (D1), D1010-D1017, 2015 | 20 | 2015 |
High-protein exposure during gestation or lactation or after weaning has a period-specific signature on rat pup weight, adiposity, food intake, and glucose homeostasis up to 6 … C Desclée de Maredsous, R Oozeer, P Barbillon, T Mary-Huard, C Delteil, ... The Journal of nutrition 146 (1), 21-29, 2016 | 18 | 2016 |
Disentangling group specific QTL allele effects from genetic background epistasis using admixed individuals in GWAS: An application to maize flowering S Rio, T Mary-Huard, L Moreau, C Bauland, C Palaffre, D Madur, ... PLoS genetics 16 (3), e1008241, 2020 | 17 | 2020 |