The Boolean network (BN) is a mathematical model used to represent various biological
processes such as gene regulatory networks. The state of a BN is determined from the …

AEON. py is a Python library for the analysis of the long-term behaviour in very large
asynchronous Boolean networks. It provides significant computational improvements over …

Boolean Networks (BNs) play a crucial role in modeling, analyzing, and controlling
biological systems. One of the most important problems on BNs is to compute all the …

Recent developments in both computational analysis and data-driven synthesis enable a
new era of automated reasoning with logical models (Boolean networks in particular) in …

The steady accumulation of senescent cells with aging creates tissue environments that aid
cancer evolution. Aging cell states are highly heterogeneous.'Deep senescent'cells rely on …

Boolean Networks (BNs) are widely used as a modeling formalism in several domains,
notably systems biology and computer science. A fundamental problem in BN analysis is the …

Identification of attractors, that is, stable states and sustained oscillations, is an important
step in the analysis of Boolean models and exploration of potential variants. We describe an …

Asynchronous Boolean networks are a type of discrete dynamical system in which each
variable can take one of two states, and a single variable state is updated in each time step …

The computation of bottom strongly connected components (BSCCs) is a fundamental task
in model checking, as well as in characterizing the attractors of dynamical systems. As such …

Decomposing a directed graph to its strongly connected components (SCCs) is a
fundamental task in model checking. To deal with the state-space explosion problem …