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Hybrid modeling and prediction of dynamical systems

PLoS computational biology, 2017-07, Vol.13 (7), p.e1005655-e1005655

2017

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Biologically-informed neural networks guide mechanistic modeling from sparse experimental data

PLoS computational biology, 2020-12, Vol.16 (12), p.e1008462-e1008462

2020

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Topological data analysis distinguishes parameter regimes in the Anderson-Chaplain model of angiogenesis

PLoS computational biology, 2021-06, Vol.17 (6), p.e1009094-e1009094

2021

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Deep learning-enabled analysis reveals distinct neuronal phenotypes induced by aging and cold-shock

BMC biology, 2020-09, Vol.18 (1), p.1-130, Article 130

2020

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A tutorial review of mathematical techniques for quantifying tumor heterogeneity

Mathematical biosciences and engineering : MBE, 2020-01, Vol.17 (4), p.3660-3709

2020

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Learning differential equation models from stochastic agent-based model simulations

Journal of the Royal Society interface, 2021-03, Vol.18 (176), p.20200987

2021

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Learning partial differential equations for biological transport models from noisy spatio-temporal data

Proceedings of the Royal Society. A, Mathematical, physical, and engineering sciences, 2020-02, Vol.476 (2234), p.20190800-20190800

2020

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Estimation of Parameter Distributions for Reaction-Diffusion Equations with Competition using Aggregate Spatiotemporal Data

Bulletin of mathematical biology, 2023-07, Vol.85 (7), p.62-62, Article 62

2023

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Role of Methylation of DNA in Environmental Adaptation

Integrative and comparative biology, 2013-08, Vol.53 (2), p.359-372

2013

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Predicting Inter-individual Variability During Lipid Resuscitation of Bupivacaine Cardiotoxicity in Rats: A Virtual Population Modeling Study

Drugs in R&D, 2021-09, Vol.21 (3), p.305-320

2021

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Learning Equations from Biological Data with Limited Time Samples

Bulletin of mathematical biology, 2020-09, Vol.82 (9), p.119-119, Article 119

2020

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Forecasting and Uncertainty Quantification Using a Hybrid of Mechanistic and Non-mechanistic Models for an Age-Structured Population Model

Bulletin of mathematical biology, 2018-06, Vol.80 (6), p.1578-1595

2018

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Quantifying collective motion patterns in mesenchymal cell populations using topological data analysis and agent-based modeling

Mathematical biosciences, 2024-04, Vol.370, p.109158-109158, Article 109158

2024

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A structured population modeling framework for quantifying and predicting gene expression noise in flow cytometry data

Applied mathematics letters, 2013-07, Vol.26 (7), p.794-798

Flores, Kevin B.

2013

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Deciphering a methylome: what can we read into patterns of DNA methylation?

Journal of experimental biology, 2011-10, Vol.214 (Pt 19), p.3155-3163

2011

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Detection of Bladder Contractions From the Activity of the External Urethral Sphincter in Rats Using Sparse Regression

IEEE transactions on neural systems and rehabilitation engineering, 2018-08, Vol.26 (8), p.1636-1644

2018

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Optimal design of non-equilibrium experiments for genetic network interrogation

Applied mathematics letters, 2015-02, Vol.40, p.84-89

2015

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Continuous Structured Population Models for Daphnia magna

Bulletin of mathematical biology, 2017-11, Vol.79 (11), p.2627-2648

2017

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Immuno-modulatory strategies for reduction of HIV reservoir cells

Journal of theoretical biology, 2015-05, Vol.372, p.146-158

2015

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Simultaneous Measurement of Striatal Dopamine and Hydrogen Peroxide Transients Associated with L-DOPA Induced Rotation in Hemiparkinsonian Rats

ACS measurement science au, 2022-04, Vol.2 (2), p.120-131

2022

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Statistical validation of structured population models for Daphnia magna

Mathematical biosciences, 2015-08, Vol.266, p.73-84

2015

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Validation of a Mathematical Model for Green Algae (Raphidocelis Subcapitata) Growth and Implications for a Coupled Dynamical System with Daphnia Magna

Applied sciences, 2016-05, Vol.6 (5), p.155

2016

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Estimating the rate of prion aggregate amplification in yeast with a generation and structured population model

Applied mathematics in science and engineering, 2018-02, Vol.26 (2), p.257-279

2018

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Deep learning and regression approaches to forecasting blood glucose levels for type 1 diabetes

Biomedical signal processing and control, 2021-08, Vol.69, p.102923, Article 102923

2021

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Multitask neural networks for predicting bladder pressure with time series data

Biomedical signal processing and control, 2022-02, Vol.72, p.103298, Article 103298

2022

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Hybrid modeling and prediction of dynamical systems

Biologically-informed neural networks guide mechanistic modeling from sparse experimental data

Topological data analysis distinguishes parameter regimes in the Anderson-Chaplain model of angiogenesis

Deep learning-enabled analysis reveals distinct neuronal phenotypes induced by aging and cold-shock

A tutorial review of mathematical techniques for quantifying tumor heterogeneity

Learning differential equation models from stochastic agent-based model simulations

Learning partial differential equations for biological transport models from noisy spatio-temporal data

Estimation of Parameter Distributions for Reaction-Diffusion Equations with Competition using Aggregate Spatiotemporal Data

Role of Methylation of DNA in Environmental Adaptation

Predicting Inter-individual Variability During Lipid Resuscitation of Bupivacaine Cardiotoxicity in Rats: A Virtual Population Modeling Study

Learning Equations from Biological Data with Limited Time Samples

Forecasting and Uncertainty Quantification Using a Hybrid of Mechanistic and Non-mechanistic Models for an Age-Structured Population Model

Quantifying collective motion patterns in mesenchymal cell populations using topological data analysis and agent-based modeling

A structured population modeling framework for quantifying and predicting gene expression noise in flow cytometry data

Deciphering a methylome: what can we read into patterns of DNA methylation?

Detection of Bladder Contractions From the Activity of the External Urethral Sphincter in Rats Using Sparse Regression

Optimal design of non-equilibrium experiments for genetic network interrogation

Continuous Structured Population Models for Daphnia magna

Immuno-modulatory strategies for reduction of HIV reservoir cells

Simultaneous Measurement of Striatal Dopamine and Hydrogen Peroxide Transients Associated with L-DOPA Induced Rotation in Hemiparkinsonian Rats

Statistical validation of structured population models for Daphnia magna

Validation of a Mathematical Model for Green Algae (Raphidocelis Subcapitata) Growth and Implications for a Coupled Dynamical System with Daphnia Magna

Estimating the rate of prion aggregate amplification in yeast with a generation and structured population model

Deep learning and regression approaches to forecasting blood glucose levels for type 1 diabetes

Multitask neural networks for predicting bladder pressure with time series data

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