Thomas logical formalism for regulatory networks

E68059

Thomas logical formalism for regulatory networks is a qualitative mathematical framework that models gene and regulatory networks using discrete logical variables and rules to capture their dynamic behavior.

Jump to: Statements Referenced by

Statements (40)

Predicate Object
instanceOf discrete dynamical system framework
mathematical formalism
modeling approach for gene regulatory networks
qualitative modeling framework
aimsTo provide qualitative understanding of complex regulatory systems
appliesTo cellular regulatory networks
gene regulatory networks
assumes discrete state space
logical update rules
captures dynamic behavior of regulatory networks
state transitions of regulatory components
characterizedBy piecewise constant activity levels
use of thresholds for regulatory effects
contrastsWith continuous differential equation models
developedBy René Thomas
enables analysis of attractors
analysis of oscillatory behaviors
analysis of stable states
field computational biology
mathematical biology
systems biology
focusesOn structure-dynamics relationship in regulatory networks
influenced development of logical modeling tools in systems biology
models qualitative dynamics
time evolution of gene activity levels
originatedIn late 20th century
relatedTo Boolean network models
multi-valued logical network models
represents activation relationships
inhibition relationships
regulatory interactions
supports asynchronous update schemes
synchronous update schemes
usedFor hypothesis generation in systems biology
modeling cell cycle regulation
modeling cell differentiation processes
qualitative simulation of regulatory networks
uses discrete logical variables
logical rules
multi-valued logical variables

Referenced by (1)

Full triples — surface form annotated when it differs from this entity's canonical label.

René Thomas knownFor Thomas logical formalism for regulatory networks