Linear cuts in Boolean networks
Aur\'elien Naldi, Adrien Richard, Elisa Tonello

TL;DR
This paper introduces linear cuts in Boolean networks, a structural feature that resolves regulatory conflicts and simplifies analysis of attractors, providing a new interpretation aligned with multi-valued models.
Contribution
It defines and studies networks with linear cuts, linking structural properties to attractor analysis and offering a novel interpretation of Boolean semantics.
Findings
Linear cuts eliminate regulatory conflicts in Boolean networks.
Attractors correspond to minimal trap spaces under linear cuts.
Reachability of attractors becomes easier to characterize.
Abstract
Boolean networks are popular tools for the exploration of qualitative dynamical properties of biological systems. Several dynamical interpretations have been proposed based on the same logical structure that captures the interactions between Boolean components. They reproduce, in different degrees, the behaviours emerging in more quantitative models. In particular, regulatory conflicts can prevent the standard asynchronous dynamics from reproducing some trajectories that might be expected upon inspection of more detailed models. We introduce and study the class of networks with linear cuts, where linear components -- intermediates with a single regulator and a single target -- eliminate the aforementioned regulatory conflicts. The interaction graph of a Boolean network admits a linear cut when a linear component occurs in each cycle and in each path from components with multiple targets…
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