Determining interaction directionality in complex biochemical networks from stationary measurements
Abstract Revealing interactions in complex systems from observed collective dynamics constitutes a fundamental inverse problem in science. Some methods may reveal undirected network topology, e.g., using node-node correlation. Yet, the direction of the interaction, thus a causal inference, remains t...
Saved in:
Main Author: | N. Leibovich |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2025-01-01
|
Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-025-86332-0 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Non-stationary response of complex ecosystem service networks to urbanization: Evidence from a typical eco-fragile area in China
by: Zhen Shen, et al.
Published: (2025-02-01) -
Current Strategies and Future Directions of Wearable Biosensors for Measuring Stress Biochemical Markers for Neuropsychiatric Applications
by: Zach Sheffield, et al.
Published: (2025-02-01) -
Molecular Modelling of Selected Phthalates and Their Interactions with Stationary Phases in Solid-Phase Microextraction
by: Dariusz Wideł, et al.
Published: (2015-08-01) -
Local stabilization and network synchronization: The case of stationary regimes
by: Stefano Fasani, et al.
Published: (2010-05-01) -
DFCNformer: A Transformer Framework for Non-Stationary Time-Series Forecasting Based on De-Stationary Fourier and Coefficient Network
by: Yuxin Jin, et al.
Published: (2025-01-01)