The Nonlinearity of Regulation in Biological Networks

Abstract excerpt

<title>Abstract</title> <p>Nonlinearity is a characteristic of complex biological regulatory networks that has implications ranging from therapy to control. To better understand its nature, we analyzed a suite of published Boolean network models, containing a variety of complex nonlinear interactions, using a probabilistic generalization of Boolean logic that George Boole himself had proposed. The continuous-natu...

Topics

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• Computer Simulation
• Genetic Engineering
• Human Genome Project
• Models, Statistical
• Mutagenesis
• Reproducibility of Results
• Sensitivity and Specificity
• Stochastic Processes

Identifiers and source

Literature Corpus work

c67948c6-9fb0-5ae4-bcc8-dd002864d50a

DOI

10.21203/rs.3.rs-1832497/v1