Computational Methods in Systems Biology (eBook, PDF)

23rd International Conference, CMSB 2025, Lyon, France, September 10-12, 2025, Proceedings
Redaktion: Fages, François; Pérès, Sabine

• Format: PDF

Produktbeschreibung

This book constitutes the refereed proceedings of the 23rd International Conference on Computational Methods in Systems Biology, CMSB 2025, which took place in Lyon, France, during September 10-12, 2025.

The 21 full papers presented in this volume were carefully reviewed and selected from 34 submissions sent to reviews.

They are grouped into the following topics: Boolean Networks; Continuous and Hybrid models; Rule-based models; Model inference and machine learning; Population models and control.

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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 404
• Erscheinungstermin: 18. August 2025
• Englisch
• ISBN-13: 9783032014368
• Artikelnr.: 75229135

Inhaltsangabe

.- Boolean Networks.

.- Computation of immediate neighbours of monotone Boolean functions.

.- Three-State Gene Expression Model Parameterized for Single-Cell Multi-Omics Data.

.- On Model Reductions of Boolean Networks.

.- AEON 2025: Robust Control of Partially-Specified Boolean Networks (tool paper).

.- Looking for Signs: Reasoning About FOBNNs Using SAT.

.- Continuous Petri Nets Faithfully Fluidify Most Permissive Boolean Networks.

.- Continuous and Hybrid models.

.- Efficient stochastic simulation of gene regulatory networks using hybrid models of transcriptional bursting.

.- Exploring Metastable Dynamics of Gene Regulatory Networks with ISOKANN.

.- Rule-based models.

.- Reachability Analysis for Parametric Rule-Based Models.

.- A rule-based modeling approach for studying animal collectives: a case study of juvenile honeybee thermotaxis.

.- A Formal Approach to Identify Structural Patterns in RNA.

.- Model inference and machine learning.

.- Kolmogorov-Arnold Network for Gene Regulatory Network Inference.

.- Optimal input design for model selection in systems with cell-to-cell variability.

.- Decoding Gene Regulation in Alzheimer s disease with Transfer Learning and Explainable Machine Learning.

.- Influence Graphs of Phytoplankton Species Interactions using Logical Learning.

.- Evaluating PDE discovery methods for multiscale modeling of biological signals.

.- Optimizing Feature Extraction Methods using Class Similarity Ratio for EMG-based Hand Gesture Classification.

.- Population models and control.

.- Eukaryotic ancestry in a finite world.

.- Minimal metabolic exchanges for microbial communities in a chemostat at steady state.

.- Seed inference in interacting microbial communities using combinatorial optimization.

.- A model-free control strategy for selective disruption of parkinsonian brain oscillations.