| Improving bioinformatics prediction of microRNA targets by ranks aggregation A Quillet, C Saad, G Ferry, Y Anouar, N Vergne, T Lecroq, C Dubessy Frontiers in genetics 10, 454113, 2020 | 90 | 2020 |
| Sharp error terms for return time statistics under mixing conditions M Abadi, N Vergne Journal of Theoretical Probability 22, 18-37, 2009 | 40 | 2009 |
| Comparative in depth RNA sequencing of P. tricornutum’s morphotypes reveals specific features of the oval morphotype C Ovide, MC Kiefer-Meyer, C Bérard, N Vergne, T Lecroq, C Plasson, ... Scientific reports 8 (1), 14340, 2018 | 33 | 2018 |
| Drifting Markov models with polynomial drift and applications to DNA sequences N Vergne Statistical applications in genetics and molecular biology 7 (1), 2008 | 25 | 2008 |
| Sharp errors for point-wise Poisson approximations in mixing processes M Abadi, N Vergne Nonlinearity 21 (12), 2871, 2008 | 24 | 2008 |
| Pre-silencing of genes involved in the electron transport chain (ETC) pathway is associated with responsiveness to abatacept in rheumatoid arthritis C Derambure, G Dzangue-Tchoupou, C Berard, N Vergne, M Hiron, ... Arthritis research & therapy 19, 1-13, 2017 | 19 | 2017 |
| Poisson approximation for search of rare words in DNA sequences N Vergne, M Abadi arXiv preprint arXiv:0711.2382, 2007 | 18 | 2007 |
| Improving high-resolution copy number variation analysis from next generation sequencing using unique molecular identifiers PJ Viailly, V Sater, M Viennot, E Bohers, N Vergne, C Berard, H Dauchel, ... BMC bioinformatics 22, 1-15, 2021 | 14 | 2021 |
| Coalescent-based DNA barcoding: multilocus analysis and robustness O David, C Larédo, R Leblois, B Schaeffer, N Vergne Journal of Computational Biology 19 (3), 271-278, 2012 | 10 | 2012 |
| SMM: An R Package for Estimation and Simulation of Discrete-time semi-Markov Models. VS Barbu, C Bérard, D Cellier, M Sautreuil, N Vergne R Journal 10 (2), 2018 | 7 | 2018 |
| Reliability and survival analysis for drifting Markov models: modeling and estimation VS Barbu, N Vergne Methodology and Computing in Applied Probability 21, 1407-1429, 2019 | 4 | 2019 |
| Narrowing the coordination solution space during motor learning standardizes individual patterns of search strategy but diversifies learning rates J Komar, L Seifert, N Vergne, KM Newell Scientific Reports 13 (1), 2009, 2023 | 2 | 2023 |
| Error rates in phylogenetic and supervised classification algorithms in DNA Barcoding C Larédo, F Austerlitz, O David, B Schaeffer, K Bleakley, N Vergne, ... Third International Barcode of Life Conference, 2009 | 2 | 2009 |
| Sharp error terms for Poisson statistics under mixing conditions: A new approach M Abadi, N Vergne UNICAMP, 2006 | 2 | 2006 |
| drimmR: An R Package for Estimation, Simulation and Reliability of Drifting Markov Models VS Barbu, N Vergne, C Lothodé, A Seiller | 1 | 2022 |
| Bayesian Information Criterion for Fitting the Optimum Order of Markov Chain Models: Methodology and Application to Air Pollution Data Y Alyousifi, K Ibrahim, M Othamn, WZW Zin, N Vergne, A Al-Yaari Mathematics 10 (13), 2280, 2022 | 1 | 2022 |
| Different types of Markovian models and applications N Vergne, VS Barbu, I Mavrogiannis, L Seifert Biomath Conference, 2023 | | 2023 |
| dsmmR: Estimation and Simulation of Drifting Semi-Markov Models V Barbu, I Mavrogiannis, N Vergne | | 2023 |
| Modèles dérivants semi-markoviens: estimation, simulation et utilisation à travers le package dsmmR N Vergne, VS Barbu, I Mavrogiannis Processus markoviens, semi-markoviens et leurs applications, 2023 | | 2023 |
| smmR: A Semi-Markov R package VS Barbu, F Lecocq, C Lothodé, N Vergne Journal of Open Source Software 8 (85), 4365, 2023 | | 2023 |
Vlad Stefan BarbuAssociate Professor of Statistics - HDR (Habilitation to Conduct Research), University of RouenVerified email at univ-rouen.fr
