Stéphanie Chevalier

Stéphanie Chevalier

Postdoc in bioinformatics (systems biology)

A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

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publications

Synthesis and Simulation of Ensembles of Boolean Networks for Cell Fate Decision

Published in CMSB, 2020

Recommended citation: Chevalier, S., Noël, V., Calzone, L., Zinovyev, A., Paulevé, L. (2020). Synthesis and Simulation of Ensembles of Boolean Networks for Cell Fate Decision. In: Abate, A., Petrov, T., Wolf, V. (eds) Computational Methods in Systems Biology. CMSB 2020. Lecture Notes in Computer Science(), vol 12314. Springer, Cham. doi.org/10.1007/978-3-030-60327-4_11. https://link.springer.com/chapter/10.1007/978-3-030-60327-4_11

BoNesis: a Python-based declarative environment for the verification, reprogramming, and synthesis of Most Permissive Boolean networks

Published in CMSB, 2024

Recommended citation: S. Chevalier, D. Boyenval, G. Magaña-López, T. Roncalli, A. Vaginay, L. Paulevé. BoNesis: a Python-based declarative environment for the verification, reprogramming, and synthesis of Most Permissive Boolean networks. CMSB 2024: 22nd International Conference on Computational Methods in Systems Biology, 2024, Pisa, Italy. https://hal.science/hal-04629083

Data-driven inference of Boolean networks from transcriptomes to predict cellular differentiation and reprogramming

Published in npj Systems Biology and Applications, 2025

Recommended citation: Stéphanie Chevalier, Julia Becker, Yujuan Gui, Vincent Noël, Cui Su, Sascha Jung, Laurence Calzone, Andrei Zinovyev, Antonio del Sol, Jun Pang, Lasse Sinkkonen, Thomas Sauter, Loïc Paulevé. Data-driven inference of Boolean networks from transcriptomes to predict cellular differentiation and reprogramming. npj Systems Biology and Applications, 2025. https://www.biorxiv.org/content/10.1101/2024.10.21.618706v1

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