Boolean function metrics can assist modelers to check and choose logical rules

DOI10.1016/j.jtbi.2022.111025zbMath1483.92071arXiv2104.01279OpenAlexW3149178913MaRDI QIDQ2670178

Pedro T. Monteiro, John Zobolas, Martin Kuiper, Åsmund Flobak

Publication date: 10 March 2022

Published in: Journal of Theoretical Biology (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2104.01279

zbMATH Keywords

complexityBoolean functionsbiasBoolean regulatory networkstruth density

Mathematics Subject Classification ID

Boolean functions (06E30) Systems biology, networks (92C42)

Uses Software

• JBool
• BoolNet
• GitHub
• BioLQM
• caspo
• CoLoMoTo

Cites Work

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• Emergence of Scaling in Random Networks
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• The Measurement of Observer Agreement for Categorical Data
• Evolution of gene networks by gene duplications: a mathematical model and its implications on genome organization.
• Neural networks and physical systems with emergent collective computational abilities.
• A logical calculus of the ideas immanent in nervous activity

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