Kyle Cuongthe Nguyen

College of Sciences

Works (3)

Updated: April 27th, 2024 05:01

2024 journal article

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

MATHEMATICAL BIOSCIENCES, 370.

By: K. Nguyen n, C. Jameson *, S. Baldwin  n, J. Nardini*, R. Smith n , J. Haugh n , K. Flores n

author keywords: Topological data analysis; Agent-based Modeling; Deep learning; Approximate Bayesian Computation; Cell migration
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: April 22, 2024

2023 journal article

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

BULLETIN OF MATHEMATICAL BIOLOGY, 85(7).

By: K. Nguyen n, E. Rutter* & K. Flores n

author keywords: Glioblastoma multiforme; Random differential equation; Parameter estimation; k-Means clustering
MeSH headings : Humans; Mathematical Concepts; Models, Biological; Brain Neoplasms; Glioblastoma
TL;DR: This work uses Prokhorov metric framework and converts the reaction-diffusion model to a random differential equation model to estimate joint distributions of diffusion and growth rates among heterogeneous subpopulations and finds that therandom differential equation is more capable at predicting the cell density compared to other models while being more time efficient. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: June 19, 2023

2023 journal article

Parameter estimation and identifiability analysis for a bivalent analyte model of monoclonal antibody-antigen binding

ANALYTICAL BIOCHEMISTRY, 679.

By: K. Nguyen n, K. Li *, K. Flores n, G. Tomaras *, S. Dennison* & J. McCarthy *

author keywords: Bivalent analyte; Binding kinetics; Parameter identifiability; Surface plasmon resonance
TL;DR: A pipeline for analysis of bivalent analyte binding kinetics that allows for the use of high-throughput, non-regenerative experimental designs, optimizes using several sets of initial parameter values to ensure that the algorithm is able to reach the lowest minimum error and applies a profile likelihood method to explore parameter identifiability. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: November 13, 2023

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