Stéphanie Chevalier, Déborah Boyenval, Gustavo Magaña López, Théo Roncalli, Athénaïs Vaginay, Loïc Paulevé. BoNesis: a Python-Based Declarative Environment for the Verification, Reprogramming, and Synthesis of Most Permissive Boolean Networks. In Roberta Gori, Paolo Milazzo, Mirco Tribastone, editors, Computational Methods in Systems Biology - 22nd International Conference, CMSB 2024, Pisa, Italy, September 16-18, 2024, Proceedings. Volume 14971 of Lecture Notes in Computer Science, pages 71-79, Springer, 2024. [doi]
@inproceedings{ChevalierBLRVP24,
title = {BoNesis: a Python-Based Declarative Environment for the Verification, Reprogramming, and Synthesis of Most Permissive Boolean Networks},
author = {Stéphanie Chevalier and Déborah Boyenval and Gustavo Magaña López and Théo Roncalli and Athénaïs Vaginay and Loïc Paulevé},
year = {2024},
doi = {10.1007/978-3-031-71671-3_6},
url = {https://doi.org/10.1007/978-3-031-71671-3_6},
researchr = {https://researchr.org/publication/ChevalierBLRVP24},
cites = {0},
citedby = {0},
pages = {71-79},
booktitle = {Computational Methods in Systems Biology - 22nd International Conference, CMSB 2024, Pisa, Italy, September 16-18, 2024, Proceedings},
editor = {Roberta Gori and Paolo Milazzo and Mirco Tribastone},
volume = {14971},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-031-71671-3},
}