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Updated: May 9, 2026

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

Large deviations of cascade processes on graphs.

F Altarelli¹, A Braunstein, L Dall'Asta

¹Department of Applied Science and Technology, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics

|July 16, 2013

Summary

This summary is machine-generated.

Researchers developed an efficient method to analyze optimized trajectories in cascade processes. This breakthrough addresses challenges in understanding out-of-equilibrium phenomena using models like bootstrap percolation.

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Area of Science:

Statistical Physics
Complex Systems

Background:

Simple models like bootstrap percolation effectively describe cascade processes.
Analyzing nontypical trajectories in out-of-equilibrium systems remains a significant challenge.

Purpose of the Study:

To introduce an efficient method for finding and analyzing optimized trajectories in cascade processes.
To demonstrate the tractability of analyzing optimized trajectories for a broad range of irreversible dynamical rules.

Main Methods:

Development of a novel computational method for trajectory optimization.
Application of the method to large-scale systems governed by irreversible dynamics.

Main Results:

The proposed method efficiently identifies and analyzes optimized trajectories.
The approach is effective across a wide class of irreversible dynamical rules.
The method's scalability allows for application to large-scale systems.

Conclusions:

The new method overcomes previous limitations in analyzing nontypical trajectories.
This work provides a powerful tool for studying out-of-equilibrium phenomena in complex systems.