Canalization as a stabilizing principle of gene regulatory networks: a discrete dynamical systems perspective

Fuente: arXiv
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Auteur principal: Kadelka, Claus
Format: Preprint
Publié: 2025
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author Kadelka, Claus
author_facet Kadelka, Claus
contents Gene regulatory networks exhibit remarkable stability, maintaining functional phenotypes despite genetic and environmental perturbations. Discrete dynamical models, such as Boolean networks, provide systems biologists with a tractable framework to explore the mathematical underpinnings of this robustness. A key mechanism conferring stability is canalization. This perspective synthesizes historical insights, formal definitions of canalization in discrete dynamical models, quantitative measures of stability, illustrative applications, and emerging challenges at the interface of theory and experiment.
format Preprint
id arxiv_https___arxiv_org_abs_2511_17905
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Canalization as a stabilizing principle of gene regulatory networks: a discrete dynamical systems perspective
Kadelka, Claus
Molecular Networks
Discrete Mathematics
Dynamical Systems
Gene regulatory networks exhibit remarkable stability, maintaining functional phenotypes despite genetic and environmental perturbations. Discrete dynamical models, such as Boolean networks, provide systems biologists with a tractable framework to explore the mathematical underpinnings of this robustness. A key mechanism conferring stability is canalization. This perspective synthesizes historical insights, formal definitions of canalization in discrete dynamical models, quantitative measures of stability, illustrative applications, and emerging challenges at the interface of theory and experiment.
title Canalization as a stabilizing principle of gene regulatory networks: a discrete dynamical systems perspective
topic Molecular Networks
Discrete Mathematics
Dynamical Systems
url https://arxiv.org/abs/2511.17905