Jonas BÉAL
Cited by
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Personalization of Logical Models With Multi-Omics Data Allows Clinical Stratification of Patients
J Béal, A Montagud, P Traynard, E Barillot, L Calzone
Frontiers in Physiology 9, 1965, 2018
Personalized logical models to investigate cancer response to BRAF treatments in melanomas and colorectal cancers
J Béal, L Pantolini, V Noël, E Barillot, L Calzone
PLOS Computational Biology 17 (1), e1007900, 2021
Patient-specific Boolean models of signalling networks guide personalised treatments
A Montagud, J Béal, L Tobalina, P Traynard, V Subramanian, B Szalai, ...
Elife 11, e72626, 2022
Uncertainty reduction in biochemical kinetic models: Enforcing desired model properties
L Miskovic, J Béal, M Moret, V Hatzimanikatis
PLOS Computational Biology 15 (8), e1007242, 2019
Genetic markers and phosphoprotein forms of beta-catenin pβ-Cat552 and pβ-Cat675 are prognostic biomarkers of cervical cancer
SM Scholl, J Beal, L de Koning, E Girard, M Popovic, ...
EBioMedicine 61, 103049, 2020
Causal inference with multiple versions of treatment and application to personalized medicine
J Béal, A Latouche
arXiv preprint arXiv:2005.12427, 2020
From the mechanistic modeling of signaling pathways in cancer to the interpretation of models and their contributions: clinical applications and statistical evaluation
J Béal
Université Paris sciences et lettres, 2020
Model classification for uncertainty reduction in biochemical kinetic models
L Miskovic, J Béal, M Moret, V Hatzimanikatis, L Miskovic, ...
bioRxiv, 427716, 2018
Connecter les modèles logiques aux données omiques
J Béal, E Remy, L Calzone
Approches symboliques de la modélisation et de l’analyse des systèmes …, 2021
De la modélisation mécanistique des voies de signalisation dans le cancer à l’interprétation des modèles et de leurs apports: applications cliniques et évaluation statistique
J Béal
Université Paris sciences et lettres, 2020
Content Summaries of Best Papers Selected for the IMIA Yearbook Section on Bioinformatics and Translational Informatics
J Béal, A Montagud, P Traynard, E Barillot, L Calzone
Genome Biol 20 (1), 175, 2019
Machine Learning for Uncertainty Reduction in Biochemical Kinetic Models
L Miskovic, J Beal, M Moret, V Hatzimanikatis
5th Conference on Constraint-Based Reconstruction and Analysis, 2018
Deciphering ambiguous control over fluxes through characterization and reduction of uncertainty
L Miskovic, J Béal, MRG Moret, V Hatzimanikatis
Biochemical & Molecular Engineering XX, 2017
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