Trap spaces of multi-valued networks: definition, computation, and applications.

ABSTRACT:

Motivation

Boolean networks are simple but efficient mathematical formalism for modelling complex biological systems. However, having only two levels of activation is sometimes not enough to fully capture the dynamics of real-world biological systems. Hence, the need for multi-valued networks (MVNs), a generalization of Boolean networks. Despite the importance of MVNs for modelling biological systems, only limited progress has been made on developing theories, analysis methods, and tools that can support them. In particular, the recent use of trap spaces in Boolean networks made a great impact on the field of systems biology, but there has been no similar concept defined and studied for MVNs to date.

Results

In this work, we generalize the concept of trap spaces in Boolean n

SUBMITTER: Trinh VG 

PROVIDER: S-EPMC10311308 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature