Magali Richard
Magali Richard
CNRS Research associate at the University Grenoble Alpes
Verified email at - Homepage
Cited by
Cited by
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
How does evolution tune biological noise?
M Richard, G Yvert
Frontiers in genetics 5, 111475, 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
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
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
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
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
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
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
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
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
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
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
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
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
ptlmapper: Useful genetic tool allowing to discriminate individuals by comparing the distribution of their phenotype and to map the genetic loci responsible for specific …
F Chuffart, M Richard, D Jost, G Yvert
Abstract B064: Redefining phenotypic heterogeneity of pancreatic ductal adenocarcinoma: A bottom-up approach
M Hilmi, F Delecourt, J Rafenne, T Bourega, N Dusetti, J Iovanna, Y Blum, ...
Cancer Research 84 (2_Supplement), B064-B064, 2024
AI Competitions and Benchmarks, Practical issues: Proposals, grant money, sponsors, prizes, dissemination, publicity
M Richard, Y Blum, J Guinney, G Stolovitzky, A Pavão
arXiv preprint arXiv:2401.04452, 2024
Redefining phenotypic intratumor heterogeneity of pancreatic ductal adenocarcinoma: a bottom-up approach
M Hilmi, F Delecourt, J Raffenne, T Bourega, N Dusetti, J Iovanna, Y Blum, ...
bioRxiv, 2023.11. 16.567454, 2023
Codabench: Flexible, Easy-to-Use and Reproducible Benchmarking Platform
Z Xu, S Escalera, I Guyon, A Pavao, M Richard, WW Tu, Q Yao, H Zhao
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