| Biosynthesis of ionotropic acetylcholine receptors requires the evolutionarily conserved ER membrane complex M Richard, T Boulin, VJP Robert, JE Richmond, JL Bessereau Proceedings of the National Academy of Sciences 110 (11), E1055-E1063, 2013 | 126 | 2013 |
| Codabench: Flexible, easy-to-use, and reproducible meta-benchmark platform Z Xu, S Escalera, A Pavao, M Richard, WW Tu, Q Yao, H Zhao, I Guyon Patterns 3 (7), 2022 | 70 | 2022 |
| How does evolution tune biological noise? M Richard, G Yvert Frontiers in genetics 5, 374, 2014 | 59 | 2014 |
| Guidelines for cell-type heterogeneity quantification based on a comparative analysis of reference-free DNA methylation deconvolution software C Decamps, F Privé, R Bacher, D Jost, A Waguet, EA Houseman, E Lurie, ... BMC bioinformatics 21, 1-15, 2020 | 44 | 2020 |
| A Screen for X-Linked Mutations Affecting Drosophila Photoreceptor Differentiation Identifies Casein Kinase 1α as an Essential Negative Regulator of Wingless … K Legent, J Steinhauer, M Richard, JE Treisman Genetics 190 (2), 601-616, 2012 | 30 | 2012 |
| CRELD1 is an evolutionarily-conserved maturational enhancer of ionotropic acetylcholine receptors M d'Alessandro, M Richard, C Stigloher, V Gache, T Boulin, JE Richmond, ... Elife 7, e39649, 2018 | 25 | 2018 |
| 2, 3, 5, 4′-Tetrahydroxystilbene-2-O-β-D-glucoside attenuates ischemia/reperfusion-induced brain injury in rats by promoting angiogenesis Y Mu, Z Xu, X Zhou, H Zhang, Q Yang, Y Zhang, Y Xie, J Kang, F Li, ... Planta Medica 83 (08), 676-683, 2017 | 24 | 2017 |
| Pacpaint: a histology-based deep learning model uncovers the extensive intratumor molecular heterogeneity of pancreatic adenocarcinoma C Saillard, F Delecourt, B Schmauch, O Moindrot, M Svrcek, ... Nature communications 14 (1), 3459, 2023 | 22 | 2023 |
| Genomics of cellular proliferation in periodic environmental fluctuations J Salignon, M Richard, E Fulcrand, H Duplus‐Bottin, G Yvert Molecular Systems Biology 14 (3), e7823, 2018 | 16 | 2018 |
| PenDA, a rank-based method for personalized differential analysis: Application to lung cancer M Richard, C Decamps, F Chuffart, E Brambilla, S Rousseaux, ... PLoS Computational Biology 16 (5), e1007869, 2020 | 11 | 2020 |
| Exploiting single-cell quantitative data to map genetic variants having probabilistic effects F Chuffart, M Richard, D Jost, C Burny, H Duplus-Bottin, Y Ohya, G Yvert PLoS genetics 12 (8), e1006213, 2016 | 10 | 2016 |
| DECONbench: a benchmarking platform dedicated to deconvolution methods for tumor heterogeneity quantification C Decamps, A Arnaud, F Petitprez, M Ayadi, A Baurès, L Armenoult, ... BMC bioinformatics 22, 1-17, 2021 | 8 | 2021 |
| Prevalence, severity, and predictors of bronchopulmonary dysplasia in a cohort of very preterm infants M Richard, D Ramful, PY Robillard, C Mussard, Y Loumouamou, M Ogier, ... Archives de Pediatrie: Organe Officiel de la Societe Francaise de Pediatrie …, 2013 | 5 | 2013 |
| Codabench: Flexible, easy-to-use and reproducible benchmarking for everyone Z Xu, H Zhao, WW Tu, M Richard, S Escalera, I Guyon arXiv preprint arXiv 2110, 2021 | 4 | 2021 |
| Prévalence, gravité et facteurs prédictifs de la dysplasie bronchopulmonaire dans une cohorte ultramarine de grands prématurés M Richard, D Ramful, PY Robillard, C Mussard, Y Loumouamou, M Ogier, ... Archives de Pédiatrie 20 (9), 928-937, 2013 | 4 | 2013 |
| Paraben exposure through drugs in the neonatal intensive care unit: a regional cohort study S Iacobelli, M Commins, S Lorrain, B Gouyon, D Ramful, M Richard, ... Frontiers in Pharmacology 14, 1200521, 2023 | 3 | 2023 |
| PACpAInt: a deep learning approach to identify molecular subtypes of pancreatic adenocarcinoma on histology slides C Saillard, F Delecourt, B Schmauch, O Moindrot, M Svrcek, ... BioRxiv, 2022.01. 04.474951, 2022 | 3 | 2022 |
| Assigning function to natural allelic variation via dynamic modeling of gene network induction M Richard, F Chuffart, H Duplus‐Bottin, F Pouyet, M Spichty, E Fulcrand, ... Molecular Systems Biology 14 (1), e7803, 2018 | 2 | 2018 |
| Modélisation et contrôle du moteur à allumage commandé pour Euro 6 MARCR Caicedo Université de Grenoble, 2012 | 1 | 2012 |
| Simulation of data-driven multi-omic benchmark data for cellular deconvolution methods evaluation H Barbot, D Causeur, Y Blum, M Richard IGDR PhD symposium, 2024 | | 2024 |
Sergio EscaleraProf., ICREA Academy, University of Barcelona, Computer Vision Center, ELLIS & IAPR & AAIA FellowVerified email at ub.edu
