4 papers
Relating biomarkers and phenotypes using dynamical trap spaces
Samuel Pastva, Kyu Hyong Park, Jordan C. Rozum +2
Connecting the dynamics of biomolecular networks to experimentally measurable cell phenotypes remains a central challenge in systems biology. Here we introduce a model-based defini…
Focused digital cohort selection from social media using the metric backbone of biomedical knowledge graphs
Ziqi Guo, Jack Felag, Jordan C. Rozum +3
Social media data allows researchers to construct large digital cohorts to study the interplay between human behavior and medical treatment.Identifying the users most relevant to a…
On the number of asynchronous attractors in AND-NOT Boolean networks
Van-Giang Trinh, Samuel Pastva, Jordan Rozum +2
Boolean Networks (BNs) describe the time evolution of binary states using logic functions on the nodes of a network. They are fundamental models for complex discrete dynamical syst…
An open problem: Why are motif-avoidant attractors so rare in asynchronous Boolean networks?
Samuel Pastva, Kyu Hyong Park, Ondrej Huvar +2
Asynchronous Boolean networks are a type of discrete dynamical system in which each variable can take one of two states, and a single variable state is updated in each time step ac…