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Found 4 papers, 2 papers with code
Structure-based approach can identify driver nodes in ensembles of biologically-inspired Boolean networks
Driving a network's feedback vertex set (FVS) by node-state override into a state consistent with a target attractor is proven to force every system trajectory to the target attractor, but in biological networks, the FVS is typically larger than can be realistically manipulated.
Network medicine framework reveals generic herb-symptom effectiveness of Traditional Chinese Medicine
We validate our framework with real-world hospital patient data by showing that (1) shorter network distance between symptoms of inpatients correlates with higher relative risk (co-occurrence), and (2) herb-symptom network proximity is indicative of patients' symptom recovery rate after herbal treatment.
Structure-based approach to identifying small sets of driver nodes in biological networks
Thus, we developed an approach to rank subsets of the FVS on Boolean models of intracellular networks using topological, dynamics-independent measures.
Network model and analysis of the spread of Covid-19 with social distancing
Here, we present a network model of human-human interactions that could be mediators of disease spread.
Physics and Society Populations and Evolution
