Cover Image

Data-driven discovery of dynamical models in biology

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Prokop, Bartosz, Gelens, Lendert
Format:	Preprint
Published:	2025
Subjects:	Quantitative Methods
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Understanding the temperature response of biological systems: Part I -- Phenomenological descriptions and microscopic models
by: Jacobs, Simen, et al.
Published: (2025)

An information-based model selection criterion for data-driven model discovery
by: Chung, Michael C, et al.
Published: (2026)

Enhancing model identification with SINDy via nullcline reconstruction
by: Prokop, Bartosz, et al.
Published: (2024)

In-silico biological discovery with large perturbation models
by: Miladinovic, Djordje, et al.
Published: (2025)

Evaluating PDE discovery methods for multiscale modeling of biological signals
by: Ducos, Andréa, et al.
Published: (2025)

Quantitative assessment of biological dynamics with aggregate data
by: McCoy, Stephen, et al.
Published: (2025)

Machine learning identifies nullclines in oscillatory dynamical systems
by: Prokop, Bartosz, et al.
Published: (2025)

Abstract relational structures in models of biology
by: Diaz, Léo, et al.
Published: (2026)

Heterogeneous immune recovery after viral response through a dynamical model of feedback-driven persistence and clearance
by: Wang, Xiaoxin, et al.
Published: (2025)

TopSpace: spatial topic modeling for unsupervised discovery of multicellular spatial tissue structures in multiplex imaging
by: Choi, Junsouk, et al.
Published: (2025)

Drug discovery guided by maximum drug likeness
by: Zhu, Hao-Yu, et al.
Published: (2025)

Nonparametric causal discovery with applications to cancer bioinformatics
by: Gomez, Jean Pierre
Published: (2023)

Increasing certainty in systems biology models using Bayesian multimodel inference
by: Linden-Santangeli, Nathaniel, et al.
Published: (2024)

Omics-driven hybrid dynamic modeling of bioprocesses with uncertainty estimation
by: Espinel-Ríos, Sebastián, et al.
Published: (2024)

Data-driven modeling and prediction of microglial cell dynamics in the ischemic penumbra
by: Amato, Sara, et al.
Published: (2024)

Six decades of the FitzHugh-Nagumo model: A guide through its spatio-temporal dynamics and influence across disciplines
by: Cebrián-Lacasa, Daniel, et al.
Published: (2024)

Computational modelling of biological systems now and then: revisiting tools and visions from the beginning of the century
by: Loewe, Axel, et al.
Published: (2025)

Forecasting and predicting stochastic agent-based model data with biologically-informed neural networks
by: Nardini, John T.
Published: (2023)

Robustness and resilience of dynamical networks in biology and epidemiology
by: Proverbio, Daniele, et al.
Published: (2025)

SBMLtoOdin and Menelmacar: Interactive visualisation of systems biology models for expert and non-expert audiences
by: Lorenz, Leonie J., et al.
Published: (2025)

Why we need all the organisms: an exploration of the Monarch knowledge graph to aid mechanism discovery
by: Cortes, Katherina, et al.
Published: (2025)

How cancer emerges: Data-driven universal insights into tumorigenesis via hallmark networks
by: Wang, Jiahe, et al.
Published: (2025)

Benchmarking open-source tools for in silico antiviral drug discovery
by: Elton, Daniel C., et al.
Published: (2026)

Sparse and nonparametric estimation of equations governing dynamical systems with applications to biology
by: Pillonetto, G., et al.
Published: (2025)

Modelling collective cell migration in a data-rich age: challenges and opportunities for data-driven modelling
by: Baker, Ruth E., et al.
Published: (2025)

Exploration of methods for computing sensitivities in ODE models at dynamic and steady states
by: Lakrisenko, Polina, et al.
Published: (2024)

Cooperative SIR dynamics as a model for spontaneous blood clot initiation
by: Greulich, Philip
Published: (2024)

bursty_dynamics: A Python Package for Exploring the Temporal Properties of Longitudinal Data
by: Angdembe, Alisha, et al.
Published: (2024)

PRAXIS: Case-distilled and code-verified AI agents for biological research
by: Ma, Zhenyu, et al.
Published: (2026)

Methods for quantifying self-organization in biology: a forward-looking survey and tutorial
by: Volkening, Alexandria
Published: (2024)

Randomness with constraints: constructing minimal models for high-dimensional biology
by: Nemenman, Ilya, et al.
Published: (2025)

Dynamic response phenotypes and model discrimination in systems and synthetic biology
by: Sontag, Eduardo D.
Published: (2025)

Spatial modeling algorithms for reactions and transport (SMART) in biological cells
by: Francis, Emmet A., et al.
Published: (2024)

Network nestedness in primates: a structural constraint or a biological advantage of social complexity?
by: Herbrich, Maxime, et al.
Published: (2024)

A new computational model for quantifying blood flow dynamics across myogenically-active cerebral arterial networks
by: Coccarelli, Alberto, et al.
Published: (2024)

Linguistically inspired roadmap for building biologically reliable protein language models
by: Vu, Mai Ha, et al.
Published: (2022)

Data-driven multi-agent modelling of calcium interactions in cell culture: PINN vs Regularized Least-squares
by: Poggi, Aurora, et al.
Published: (2025)

Dynamical network stability analysis of multiple biological ages provides a framework for understanding the aging process
by: Pridham, Glen, et al.
Published: (2023)

EMERALD-UI: An interactive web application to unveil novel protein biology hidden in the suboptimal-alignment space
by: Preoteasa, Andrei, et al.
Published: (2026)

MassSpecGym: A benchmark for the discovery and identification of molecules
by: Bushuiev, Roman, et al.
Published: (2024)