1 citations · 1 across the 3 of their papers we have counts for
3 papers
Dynamics Decomposition of Boolean Networks: An algebraic foundation
Alan Veliz-Cuba, Claus Kadelka, David Murrugarra +4
Understanding the dynamics of Boolean networks is central to problems such as network reduction, design, control, and reverse engineering. As Boolean network models continue to gro…
Personalizing Cancer Models under Data Scarcity via Parameter Decomposition
Logan Rose, Jonathan Martinez, Juho Kim +3
Personalized cancer modeling for clinical applications requires robust and efficient parameter calibration, particularly in settings with limited patient data. This need is especia…
Structure and Dynamics of Polynomial Dynamical Systems
Reinhard Laubenbacher, David Murrugarra, Alan Veliz-Cuba
Discrete models have a long tradition in engineering, including finite state machines, Boolean networks, Petri nets, and agent-based models. Of particular importance is the questio…