Reducing Boolean networks with backward equivalence

Reducing Boolean networks with backward equivalence

Abstract Background Boolean Networks (BNs) are a popular dynamical model in biology where the state of each component is represented by a variable taking binary values that express, for instance, activation/deactivation or high/low concentrations. Unfortunately, these models suffer from the state sp...

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Bibliographic Details
Main Authors: Georgios A. Argyris, Alberto Lluch Lafuente, Mirco Tribastone, Max Tschaikowski, Andrea Vandin
Format: Article
Language:English
Published: BMC 2023-05-01
Series:BMC Bioinformatics
Subjects:
Boolean network
Model reduction
State-space generation
Attractors analysis
Partition refinement
Online Access:https://doi.org/10.1186/s12859-023-05326-9

Internet

https://doi.org/10.1186/s12859-023-05326-9

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