Reconciling qualitative, abstract, and scalable modeling of biological networks
Boolean Networks are a well-established model of biological networks, but usual interpretations can preclude the prediction of behaviours observed in quantitative systems. The authors introduce Most Permissive Boolean Networks, which are shown not to miss any behaviour achievable by the correspondin...
Enregistré dans:
Auteurs principaux: | Loïc Paulevé, Juraj Kolčák, Thomas Chatain, Stefan Haar |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2020
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/b334f95a292b43fca9da83ea0ae7f1a2 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Publisher Correction: Reconciling qualitative, abstract, and scalable modeling of biological networks
par: Loïc Paulevé, et autres
Publié: (2020) -
Scalable steady state analysis of Boolean biological regulatory networks.
par: Ferhat Ay, et autres
Publié: (2009) -
Reconciled rat and human metabolic networks for comparative toxicogenomics and biomarker predictions
par: Edik M. Blais, et autres
Publié: (2017) -
Reconciling diverse mammalian pigmentation patterns with a fundamental mathematical model
par: Richard L. Mort, et autres
Publié: (2016) -
Reconciling contrasting views on economic complexity
par: Carla Sciarra, et autres
Publié: (2020)