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Found 10 papers, 4 papers with code
Dynamical Modularity in Automata Models of Biochemical Networks
We present a novel algorithm to automatically extract pathway modules from networks and we characterize the interactions that may take place between modules.
Small Cohort of Epilepsy Patients Showed Increased Activity on Facebook before Sudden Unexpected Death
Sudden Unexpected Death in Epilepsy (SUDEP) remains a leading cause of death in people with epilepsy.
On the feasibility of dynamical analysis of network models of biochemical regulation
A recent article by Weidner et al. [2021] presents a method to extract graph properties that are predictive of the dynamical behavior of multivariate, discrete models of biochemical regulation.
The distance backbone of complex networks
Redundancy needs more precise characterization as it is a major factor in the evolution and robustness of networks of multivariate interactions.
Effective connectivity determines the critical dynamics of biochemical networks
This parsimony in the number of parameters needed sometimes leads to uncertain predictions about the dynamical regime of both random and systems biology models of biochemical regulation.
City-wide Analysis of Electronic Health Records Reveals Gender and Age Biases in the Administration of Known Drug-Drug Interactions
The occurrence of drug-drug-interactions (DDI) from multiple drug dispensations is a serious problem, both for individuals and health-care systems, since patients with complications due to DDI are likely to reenter the system at a costlier level.
Monitoring Potential Drug Interactions and Reactions via Network Analysis of Instagram User Timelines
This demonstrates that Instagram contains much drug- and pathology specific data for public health monitoring of DDI and ADR, and that complex network analysis provides an important toolbox to extract health-related associations and their support from large-scale social media data.
Modularity and the spread of perturbations in complex dynamical systems
We propose a method to decompose dynamical systems based on the idea that modules constrain the spread of perturbations.
Physics and Society Social and Information Networks Adaptation and Self-Organizing Systems Data Analysis, Statistics and Probability
Extraction of Pharmacokinetic Evidence of Drug-drug Interactions from the Literature
We used manually curated corpora of PubMed abstracts and annotated sentences to evaluate the efficacy of literature mining on two tasks: first, identifying PubMed abstracts containing pharmacokinetic evidence of DDIs; second, extracting sentences containing such evidence from abstracts.
Prediction and Modularity in Dynamical Systems
Identifying and understanding modular organizations is centrally important in the study of complex systems.
