Dynamic networks
Dynamic networks are networks that vary over time; their vertices are often not binary and instead represent a probability for having a link between two nodes. Statistical approaches or computer simulations are often necessary to explore how such networks evolve, adapt or respond to external intervention.
Latest Research and Reviews
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Research
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Individual and collective learning in groups facing danger
Scientific Reports 12, 6210 -
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Research
| Open Access
Queueing theory model of pentose phosphate pathway
Scientific Reports 12, 4601
SANA: cross-species prediction of Gene Ontology GO annotations via topological network alignment
Translocating proteins compartment-specifically alter the fate of epithelial-mesenchymal transition in a compartmentalized Boolean network model
Individual and collective learning in groups facing danger
Using high-resolution contact networks to evaluate SARS-CoV-2 transmission and control in large-scale multi-day events
Dynamical modeling of miR-34a, miR-449a, and miR-16 reveals numerous DDR signaling pathways regulating senescence, autophagy, and apoptosis in HeLa cells
Queueing theory model of pentose phosphate pathway
Phosphoproteomics takes it easy