Systems Biology Modeling of Cancer Nonlinear Dynamics
Author Department
Surgery
Document Type
Article, Peer-reviewed
Publication Date
12-2023
Abstract
Not unlike the climate or what holds the galaxies and planetary motions together, cancer biology has an intrinsic nonlinear dynamic. In this overview we will outline how to connect temporal measurements of a nonlinear dynamical and unstable complex system, such as cancer, with well-established engineering methods, old and new, that are applied in linear dynamical systems.This proof-of-concept is therapeutically relevant in the development of new means to treat or control human cancer by either adding an appropriate external "damping" or a "forcing" term, or by a "control" actuator such that its nonlinear dynamic is steered to a spiral stably into zero forever as a sink attractor.
Keywords: Actuator; Cancer; Dynamic mode decomposition; Frobenius norm; Gene regulation; Genetic programming and analytical differentiation; Gillespie stochastic algorithm; Least absolute shrinkage and selection operator; Linear and nonlinear dynamic; Pareto front; Sparsity technique.
Recommended Citation
Alameddine A. Systems Biology Modeling of Cancer Nonlinear Dynamics. Methods Mol Biol. 2024;2745:121-134. doi: 10.1007/978-1-0716-3577-3_8.
PMID
38060183