Modeling delayed dynamics in biological regulatory networks from time series data

DOI10.3390/a10010008zbMath1461.62184OpenAlexW2568256205MaRDI QIDQ1662593

Olivier Roux, Tony Ribeiro, Emna Ben Abdallah, Morgan Magnin, Katsumi Inoue

Publication date: 20 August 2018

Published in: Algorithms (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3390/a10010008

zbMATH Keywords

time series datalearning modelsdynamics modelingdelayed biological regulatory networkstimed automata networks

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Learning and adaptive systems in artificial intelligence (68T05) Systems biology, networks (92C42)

Related Items (1)

Learning explanations for biological feedback with delays using an event calculus

Uses Software

• Clingo
• GeneNetWeaver
• DREAMTools
• PREMER
• hiPathDB

Cites Work

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• Synthesis of biological models from mutation experiments
• Refining Dynamics of Gene Regulatory Networks in a Stochastic π-Calculus Framework
• Completing Networks Using Observed Data
• Knowledge Representation, Reasoning and Declarative Problem Solving

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