424 citations · 1.5k across the 27 of their papers we have counts for
27 papers
Boolean Networks as Predictive Models of Emergent Biological Behaviors
Jordan C. Rozum, Colin Campbell, Eli Newby +2
Interacting biological systems at all organizational levels display emergent behavior. Modeling these systems is made challenging by the number and variety of biological components…
Structure-based approach can identify driver nodes in ensembles of biologically-inspired Boolean networks
Eli Newby, Jorge Gómez Tejeda Zañudo, Réka Albert
Because the attractors of biological networks reflect stable behaviors (e.g., cell phenotypes), identifying control interventions that can drive a system towards its attractors (at…
Structure-based approach to identifying small sets of driver nodes in biological networks
Eli Newby, Jorge Gómez Tejda Zañudo, Réka Albert
In network control theory, driving all the nodes in the Feedback Vertex Set (FVS) forces the network into one of its attractors (long-term dynamic behaviors). The FVS is often comp…
Parity and time-reversal elucidate both decision-making in empirical models and attractor scaling in critical Boolean networks
Jordan C. Rozum, Jorge Gómez Tejeda Zañudo, Xiao Gan +2
We present new applications of parity inversion and time-reversal to the emergence of complex behavior from simple dynamical rules in stochastic discrete models. Our parity-based e…
Network model and analysis of the spread of Covid-19 with social distancing
Parul Maheshwari, Réka Albert
The first mitigation response to the Covid-19 pandemic was to limit person-to-person interaction as much as possible. This was implemented by the temporary closing of many workplac…
Towards control of cellular decision-making networks in the epithelial-to-mesenchymal transition
Jorge Gómez Tejeda Zañudo, M. Tyler Guinn, Kevin Farquhar +4
We present the epithelial-to-mesenchymal transition (EMT) from two perspectives: experimental/technological and theoretical. We review the state of the current understanding of the…