Academic Journal

Causality and independence in perfectly adapted dynamical systems

التفاصيل البيبلوغرافية
العنوان: Causality and independence in perfectly adapted dynamical systems
المؤلفون: Blom Tineke, Mooij Joris M.
المصدر: Journal of Causal Inference, Vol 11, Iss 1, Pp 203-24 (2023)
بيانات النشر: De Gruyter, 2023.
سنة النشر: 2023
المجموعة: LCC:Mathematics
LCC:Probabilities. Mathematical statistics
مصطلحات موضوعية: causal ordering, causal discovery, feedback, equilibrium, perfect adaptation, 37c20, 60g99, 62a01, 62a09, 62d20, 62h22, 62m99, 92c42, 92c45, 93c73, Mathematics, QA1-939, Probabilities. Mathematical statistics, QA273-280
الوصف: Perfect adaptation in a dynamical system is the phenomenon that one or more variables have an initial transient response to a persistent change in an external stimulus but revert to their original value as the system converges to equilibrium. With the help of the causal ordering algorithm, one can construct graphical representations of dynamical systems that represent the causal relations between the variables and the conditional independences in the equilibrium distribution. We apply these tools to formulate sufficient graphical conditions for identifying perfect adaptation from a set of first-order differential equations. Furthermore, we give sufficient conditions to test for the presence of perfect adaptation in experimental equilibrium data. We apply this method to a simple model for a protein signalling pathway and test its predictions in both simulations and using real-world protein expression data. We demonstrate that perfect adaptation can lead to misleading orientation of edges in the output of causal discovery algorithms.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2193-3685
Relation: https://doaj.org/toc/2193-3685
DOI: 10.1515/jci-2021-0005
URL الوصول: https://doaj.org/article/e89bacf28d3941ebb1efe05dd970d38f
رقم الانضمام: edsdoj.89bacf28d3941ebb1efe05dd970d38f
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:21933685
DOI:10.1515/jci-2021-0005