John Thomas Nardini
Works (8)
Updated: August 15th, 2023 21:15
2021 review
Learning differential equation models from stochastic agent-based model simulations
[Review of ]. JOURNAL OF THE ROYAL SOCIETY INTERFACE, 18(176).
co-author countries:
Australia 🇦🇺 United Kingdom of Great Britain and Northern Ireland 🇬🇧 United States of America 🇺🇸
author keywords: agent-based models; differential equations; equation learning; population dynamics; disease dynamics
MeSH headings : Learning; Models, Biological; Molecular Dynamics Simulation; Monte Carlo Method; Stochastic Processes
royalsocietypublishing.org (publisher PDF)
Source: Web Of Science
Added: April 12, 2021
2021 journal article
Topological data analysis distinguishes parameter regimes in the Anderson-Chaplain model of angiogenesis
PLOS COMPUTATIONAL BIOLOGY, 17(6).
co-author countries:
United Kingdom of Great Britain and Northern Ireland 🇬🇧 United States of America 🇺🇸
MeSH headings : Algorithms; Animals; Blood Vessels / anatomy & histology; Blood Vessels / growth & development; Blood Vessels / physiology; Chemotaxis; Computational Biology; Computer Simulation; Humans; Models, Cardiovascular; Neoplasms / blood supply; Neovascularization, Pathologic; Neovascularization, Physiologic; Spatio-Temporal Analysis
Source: Web Of Science
Added: July 19, 2021
2020 review
A tutorial review of mathematical techniques for quantifying tumor heterogeneity
[Review of ]. MATHEMATICAL BIOSCIENCES AND ENGINEERING, 17(4), 3660–3709.
author keywords: cancer heterogeneity; mathematical oncology; tumor growth; glioblastoma multiforme; virtual populations; nonlinear mixed effects; spatiotemporal data; Bayesian estimation; generative; adversarial networks; non-parametric estimation; variational autoencoders; machine learning
MeSH headings : Bayes Theorem; Humans; Machine Learning; Models, Theoretical; Neoplasms; Precision Medicine
Source: Web Of Science
Added: August 3, 2020
2020 journal article
Biologically-informed neural networks guide mechanistic modeling from sparse experimental data
PLOS COMPUTATIONAL BIOLOGY, 16(12).
co-author countries:
Australia 🇦🇺 United Kingdom of Great Britain and Northern Ireland 🇬🇧 United States of America 🇺🇸
MeSH headings : Computer Simulation; Machine Learning; Neural Networks, Computer; Nonlinear Dynamics
Source: Web Of Science
Added: January 4, 2021
2020 journal article
Learning Equations from Biological Data with Limited Time Samples
BULLETIN OF MATHEMATICAL BIOLOGY, 82(9).
co-author countries:
United Kingdom of Great Britain and Northern Ireland 🇬🇧 United States of America 🇺🇸
author keywords: Equation learning; Numerical differentiation; Sparse regression; Model selection; Partial differential equations; Parameter estimation; Population dynamics; Glioblastoma multiforme
MeSH headings : Computational Biology / methods; Glioblastoma; Humans; Learning; Mathematical Concepts; Models, Biological; Nonlinear Dynamics
Source: Web Of Science
Added: September 28, 2020
2020 journal article
Learning partial differential equations for biological transport models from noisy spatio-temporal data
co-author countries:
United States of America 🇺🇸
author keywords: numerical differentiation; equation learning; sparse regression; partial differential equations; parameter estimation; biological transport
Source: Web Of Science
Added: March 30, 2020
2019 journal article
The influence of numerical error on parameter estimation and uncertainty quantification for advective PDE models
INVERSE PROBLEMS, 35(6).
co-author countries:
United States of America 🇺🇸
author keywords: inverse problems; numerical analysis; uncertainty quantification; autocorrelation
Source: Web Of Science
Added: June 17, 2019
2013 journal article
Quantifying CFSE label decay in flow cytometry data
APPLIED MATHEMATICS LETTERS, 26(5), 571–577.
co-author countries:
United States of America 🇺🇸
author keywords: Carboxyfluorescein succinimidyl ester (CFSE); Ordinary differential equation models; Inverse problems; Exponential decay; Gompertz growth; Akiake Information
Source: Web Of Science
Added: August 6, 2018
