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Updated: Jan 8, 2026

Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation
Published on: August 21, 2019
Parameter estimation in interacting particle systems on dynamic random networks
Simone Baldassarri1, Jiesen Wang2
1Gran Sasso Science Institute, Viale Francesco Crispi 7, 67100 L'Aquila, Italy.
Abstract:
In this paper, we consider a class of interacting particle systems on dynamic random networks, in which the joint dynamics of vertices and edges acts as one-way feedback, i.e., edges appear and disappear over time depending on the state of the two connected vertices, while the vertex dynamics does not depend on the edge process. Our goal is to estimate the underlying dynamics from partial information of the process, specifically from snapshots of the total number of edges present. We showcase the effectiveness of our inference method through various numerical results.
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