2 citations · 4 across the 10 of their papers we have counts for
11 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…
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…
Challenges and opportunities for digital twins in precision medicine: a complex systems perspective
Manlio De Domenico, Luca Allegri, Guido Caldarelli +6
The adoption of digital twins (DTs) in precision medicine is increasingly viable, propelled by extensive data collection and advancements in artificial intelligence (AI), alongside…
Refinement of an Epilepsy Dictionary through Human Annotation of Health-related posts on Instagram
Aehong Min, Xuan Wang, Rion Brattig Correia +3
We used a dictionary built from biomedical terminology extracted from various sources such as DrugBank, MedDRA, MedlinePlus, TCMGeneDIT, to tag more than 8 million Instagram posts…
CANA v1.0.0 and schematodes: efficient quantification of symmetry in Boolean automata
Austin M. Marcus, Jordan Rozum, Herbert Sizek +1
The biomolecular networks underpinning cell function exhibit canalization, or the buffering of fluctuations required to function in a noisy environment. One understudied putative m…
myAURA: Personalized health library for epilepsy management via knowledge graph sparsification and visualization
Rion Brattig Correia, Jordan C. Rozum, Leonard Cross +10
Objective: We report the development of the patient-centered myAURA application and suite of methods designed to aid epilepsy patients, caregivers, and researchers in making decisi…
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…
The ultrametric backbone is the union of all minimum spanning forests
Jordan C Rozum, Luis M Rocha
Minimum spanning trees and forests are powerful sparsification techniques that remove cycles from weighted graphs to minimize total edge weight while preserving node connectivity.…
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…
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…