Lattice structures that parameterize regulatory network dynamics

We consider two types of models of regulatory network dynamics: Boolean maps and systems of switching ordinary differential equations. Our goal is to construct all models in each category that are compatible with the directed signed graph that describe the network interactions. This leads to conside...

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Published in:Mathematical biosciences Vol. 374; p. 109225
Main Author: Gedeon, Tomáš
Format: Journal Article
Language:English
Published: United States Elsevier Inc 01.08.2024
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ISSN:0025-5564, 1879-3134, 1879-3134
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Abstract We consider two types of models of regulatory network dynamics: Boolean maps and systems of switching ordinary differential equations. Our goal is to construct all models in each category that are compatible with the directed signed graph that describe the network interactions. This leads to consideration of lattice of monotone Boolean functions (MBF), poset of non-degenerate MBFs, and a lattice of chains in these sets. We describe explicit inductive construction of these posets where the induction is on the number of inputs in MBF. Our results allow enumeration of potential dynamic behavior of the network for both model types, subject to practical limitation imposed by the size of the lattice of MBFs described by the Dedekind number. •Regulatory networks are modeled using both Boolean and ODE models.•There are finite ensembles of Boolean and switching ODE models compatible with network structure.•Capacity of network to support dynamics is given by its prevalence in the ensemble.•.We present iterative algorithms that construct ensembles of the network models.
AbstractList We consider two types of models of regulatory network dynamics: Boolean maps and systems of switching ordinary differential equations. Our goal is to construct all models in each category that are compatible with the directed signed graph that describe the network interactions. This leads to consideration of lattice of monotone Boolean functions (MBF), poset of non-degenerate MBFs, and a lattice of chains in these sets. We describe explicit inductive construction of these posets where the induction is on the number of inputs in MBF. Our results allow enumeration of potential dynamic behavior of the network for both model types, subject to practical limitation imposed by the size of the lattice of MBFs described by the Dedekind number. •Regulatory networks are modeled using both Boolean and ODE models.•There are finite ensembles of Boolean and switching ODE models compatible with network structure.•Capacity of network to support dynamics is given by its prevalence in the ensemble.•.We present iterative algorithms that construct ensembles of the network models.
We consider two types of models of regulatory network dynamics: Boolean maps and systems of switching ordinary differential equations. Our goal is to construct all models in each category that are compatible with the directed signed graph that describe the network interactions. This leads to consideration of lattice of monotone Boolean functions (MBF), poset of non-degenerate MBFs, and a lattice of chains in these sets. We describe explicit inductive construction of these posets where the induction is on the number of inputs in MBF. Our results allow enumeration of potential dynamic behavior of the network for both model types, subject to practical limitation imposed by the size of the lattice of MBFs described by the Dedekind number.
We consider two types of models of regulatory network dynamics: Boolean maps and systems of switching ordinary differential equations. Our goal is to construct all models in each category that are compatible with the directed signed graph that describe the network interactions. This leads to consideration of lattice of monotone Boolean functions (MBF), poset of non-degenerate MBFs, and a lattice of chains in these sets. We describe explicit inductive construction of these posets where the induction is on the number of inputs in MBF. Our results allow enumeration of potential dynamic behavior of the network for both model types, subject to practical limitation imposed by the size of the lattice of MBFs described by the Dedekind number.We consider two types of models of regulatory network dynamics: Boolean maps and systems of switching ordinary differential equations. Our goal is to construct all models in each category that are compatible with the directed signed graph that describe the network interactions. This leads to consideration of lattice of monotone Boolean functions (MBF), poset of non-degenerate MBFs, and a lattice of chains in these sets. We describe explicit inductive construction of these posets where the induction is on the number of inputs in MBF. Our results allow enumeration of potential dynamic behavior of the network for both model types, subject to practical limitation imposed by the size of the lattice of MBFs described by the Dedekind number.
ArticleNumber 109225
Author Gedeon, Tomáš
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Keywords Regulatory network dynamics
Switching systems
Boolean systems
Monotone Boolean functions
Language English
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Snippet We consider two types of models of regulatory network dynamics: Boolean maps and systems of switching ordinary differential equations. Our goal is to construct...
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StartPage 109225
SubjectTerms Boolean systems
Monotone Boolean functions
Regulatory network dynamics
Switching systems
Title Lattice structures that parameterize regulatory network dynamics
URI https://dx.doi.org/10.1016/j.mbs.2024.109225
https://www.ncbi.nlm.nih.gov/pubmed/38866065
https://www.proquest.com/docview/3067915797
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