Produktbild: Computational Methods in Systems Biology
Band 15959

Computational Methods in Systems Biology 23rd International Conference, CMSB 2025, Lyon, France, September 10–12, 2025, Proceedings

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

19.08.2025

Abbildungen

XXIII, 404 p. 125 illus., 104 illus. in color.

Herausgeber

François Fages + weitere

Verlag

Springer

Seitenzahl

404

Maße (L/B/H)

23,5/15,5/2,4 cm

Gewicht

651 g

Sprache

Englisch

ISBN

978-3-032-01435-1

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

19.08.2025

Abbildungen

XXIII, 404 p. 125 illus., 104 illus. in color.

Herausgeber

Verlag

Springer

Seitenzahl

404

Maße (L/B/H)

23,5/15,5/2,4 cm

Gewicht

651 g

Sprache

Englisch

ISBN

978-3-032-01435-1

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Computational Methods in Systems Biology

  • .- 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.