Kevin Bryant Flores

Works (43)

Updated: April 22nd, 2024 07:45

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)
Source: Web Of Science
Added: June 19, 2023

2023 journal article

Few-Shot Learning Enables Population-Scale Analysis of Leaf Traits in<i> Populus</i><i> trichocarpa</i>

PLANT PHENOMICS, 5.

By: J. Lagergren*, M. Pavicic*, H. Chhetri*, L. York*, D. Hyatt*, D. Kainer*, E. Rutter*, K. Flores n ...

TL;DR: This work uses few-shot learning with convolutional neural networks to segment the leaf body and visible venation of 2,906 Populus trichocarpa leaf images obtained in the field, and generates a new population-scale dataset, including 68 different leaf phenotypes, for domain scientists and machine learning researchers. (via Semantic Scholar)
Source: Web Of Science
Added: January 2, 2024

2023 journal article

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

ANALYTICAL BIOCHEMISTRY, 679.

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)
Source: Web Of Science
Added: November 13, 2023

2022 journal article

Multitask neural networks for predicting bladder pressure with time series data

BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 72.

By: S. Warrier n, E. Rutter* & K. Flores n

author keywords: Multitask neural networks; Recurrent neural networks; Time series data; Bladder dysfunction; Bladder contraction; Spectrogram
UN Sustainable Development Goal Categories
5. Gender Equality (Web of Science)
Source: Web Of Science
Added: November 29, 2021

2021 journal article

Deep Learning Approach to the Detection of Scattering Delay in Radar Images

JOURNAL OF STATISTICAL THEORY AND PRACTICE, 15(1).

By: J. Lagergren n, K. Flores n, M. Gilman n & S. Tsynkov n

author keywords: Radar imaging; Dispersive targets; Classification; Convolutional neural network
TL;DR: A convolutional neural network is applied to the problem of discrimination between the instantaneous and delayed targets in synthetic aperture radar images, and a trained neural network demonstrates the discrimination quality commensurate with that of the benchmark maximum likelihood-based classifier. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: January 4, 2021

2021 journal article

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

BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 69.

By: M. Zhang n, K. Flores n & H. Tran n

author keywords: Neural networks; Regression; Encoder decoder; Time series forecasting; Diabetes
TL;DR: A neural network model using an encoder-decoder architecture has the most stable performance and is able to recover missing dynamics in short time intervals and may enable a feasible solution with low computational cost for the time-dependent adjustment of artificial pancreas for diabetes patients. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID
Added: August 30, 2021

2021 review

Learning differential equation models from stochastic agent-based model simulations

[Review of ]. JOURNAL OF THE ROYAL SOCIETY INTERFACE, 18(176).

By: J. Nardini n, R. Baker*, M. Simpson* & K. Flores n

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
TL;DR: This tutorial proposes that methods from the equation learning field provide a promising, novel and unifying approach for agent-based model analysis, and demonstrates that this framework is easy to use, requires few model simulations, and accurately predicts model dynamics in parameter regions where coarse-grained differential equation models fail to do so. (via Semantic Scholar)
Source: Web Of Science
Added: April 12, 2021

2021 article

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

McDaniel, M., Flores, K. B., & Akpa, B. S. (2021, July 19). DRUGS IN R&D, Vol. 7.

By: M. McDaniel n, K. Flores n & B. Akpa*

MeSH headings : Anesthetics, Local / toxicity; Animals; Bupivacaine / toxicity; Cardiotoxicity; Lipids; Rats; Rats, Sprague-Dawley
TL;DR: A mechanistic model predicted a plausible range of treatment outcomes that accurately predicts changes in LD50 when extrapolated to putatively toxic doses of bupivacaine, and causal analysis of the predicted survival outcomes indicated a critical synergy between scavenging and direct cardiotonic mechanisms of ILE action. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: July 20, 2021

2021 journal article

Stoichiometric Ecotoxicology for a Multisubstance World

BIOSCIENCE, 71(2), 132–147.

By: A. Peace*, P. Frost*, N. Wagner*, M. Danger*, C. Accolla*, P. Antczak, B. Brooks*, D. Costello* ...

author keywords: nutrient ratios; elemental imbalances; toxicity; ecotoxicological models; multiple stressors
TL;DR: Stochichiometric ecotoxicology is introduced, a subfield in ecology that examines how contaminant stress, nutrient supply, and elemental constraints interact throughout all levels of biological organization. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (OpenAlex)
13. Climate Action (Web of Science)
15. Life on Land (Web of Science)
Source: Web Of Science
Added: May 24, 2021

2021 journal article

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

PLOS COMPUTATIONAL BIOLOGY, 17(6).

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
TL;DR: This work simulates the Anderson-Chaplain model of angiogenesis at different parameter values, and proposes a topological data analysis (TDA) pipeline for systematic analysis of the model and shows that TDA of model simulation data stratifies parameter space into regions with similar vessel morphology. (via Semantic Scholar)
UN Sustainable Development Goal Categories
6. Clean Water and Sanitation (OpenAlex)
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.

By: R. Everett*, K. Flores*, N. Henscheid, J. Lagergren*, K. Larripa, D. Li, J. Nardini*, P. Nguyen*, E. Pitman, E. Rutter*

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
TL;DR: Several techniques that can be used to aid the mathematical modeller in inferring and quantifying both sources of heterogeneity from patient data are reviewed, including virtual populations, nonlinear mixed effects modeling, non-parametric estimation, Bayesian techniques, and machine learning. (via Semantic Scholar)
UN Sustainable Development Goal Categories
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).

MeSH headings : Computer Simulation; Machine Learning; Neural Networks, Computer; Nonlinear Dynamics
TL;DR: BINNs are trained in a supervised learning framework to approximate in vitro cell biology assay experiments while respecting a generalized form of the governing reaction-diffusion partial differential equation (PDE). (via Semantic Scholar)
Source: Web Of Science
Added: January 4, 2021

2020 journal article

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

BMC BIOLOGY, 18(1).

By: S. Saberi-Bosari n, K. Flores n & A. San-Miguel n

author keywords: Deep learning; Convolutional neural networks; Neurodegeneration; Neuronal beading; Aging; Machine learning; Phenotyping; C; elegans
MeSH headings : Aging / physiology; Animals; Caenorhabditis elegans / physiology; Cold-Shock Response / physiology; Deep Learning; Neurons / physiology; Phenotype
TL;DR: Deep learning is applied to perform quantitative image-based analysis of complex neurodegeneration patterns exhibited by the PVD neuron in C. elegans and revealed that distinct patterns of morphological alteration are induced by aging and cold-shock, suggesting different mechanisms at play. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: October 26, 2020

2020 journal article

Learning Equations from Biological Data with Limited Time Samples

BULLETIN OF MATHEMATICAL BIOLOGY, 82(9).

By: J. Nardini n, J. Lagergren n, A. Hawkins-Daarud*, L. Curtin*, B. Morris*, E. Rutter*, K. Swanson*, K. Flores n

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
TL;DR: This work presents an equation learning methodology comprised of data denoising, equation learning, model selection and post-processing steps that infers a dynamical systems model from noisy spatiotemporal data and highlights how these results are informative for data-driven modeling-based tumor invasion predictions. (via Semantic Scholar)
Source: Web Of Science
Added: September 28, 2020

2020 journal article

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

By: J. Lagergren n, J. Nardini n, G. Michael Lavigne n, E. Rutter n & K. Flores n

author keywords: numerical differentiation; equation learning; sparse regression; partial differential equations; parameter estimation; biological transport
TL;DR: It is shown that the ANN methodology outperforms previous denoising methods, including finite differences and both local and global polynomial regression splines, in the ability to accurately approximate partial derivatives and learn the correct PDE model. (via Semantic Scholar)
Source: Web Of Science
Added: March 30, 2020

2020 article

Lifelong Analysis of Key Aging Genes as Determinants of Lifespan in <it>C</it>. <it>elegans</it>

San Miguel, A., Ramirez, J., & Flores, K. (2020, April). FASEB JOURNAL, Vol. 34.

By: A. San Miguel n, J. Ramirez n & K. Flores n

TL;DR: This work presents a system that enables in vivo tracking the endogenous spatiotemporal activity of key aging genes throughout C. elegans lifespan using an integrative experimental platform based on microfluidics, computer vision, and tagging of endogenous genes via CRISPR/Cas9 genetic engineering approaches. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: October 12, 2020

2018 article

Automated Object Tracing for Biomedical Image Segmentation Using a Deep Convolutional Neural Network

MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2018, PT IV, Vol. 11073, pp. 686–694.

By: E. Rutter n, J. Lagergren n & K. Flores n

TL;DR: A novel methodology that uses CNNs for segmentation by mimicking the human task of tracing object boundaries is presented that is more accurate than CNNs alone and orders of magnitude faster than manual segmentation. (via Semantic Scholar)
Source: Web Of Science
Added: August 12, 2019

2018 journal article

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, 26(8), 1636–1644.

By: E. Rutter n, C. Langdale*, J. Hokanson*, F. Hamilton n, H. Tran n, W. Grill*, K. Flores n

author keywords: LASSO; neural stimulation; bladder dysfunction; spectrogram
MeSH headings : Algorithms; Animals; Computer Simulation; Electromyography; Female; Models, Theoretical; Muscle Contraction / physiology; Pudendal Nerve; Rats; Rats, Wistar; Urethra / physiology; Urinary Bladder / physiology; Urinary Incontinence / rehabilitation
TL;DR: A novel method for prediction of bladder pressure using a time-dependent spectrogram representation of external urethral sphincter electromyographic (EUS EMG) activity and a least absolute shrinkage and selection operator regression model is proposed. (via Semantic Scholar)
UN Sustainable Development Goal Categories
5. Gender Equality (Web of Science)
Sources: Crossref, ORCID
Added: July 20, 2019

2018 journal article

Estimating intratumoral heterogeneity from spatiotemporal data

JOURNAL OF MATHEMATICAL BIOLOGY, 77(6-7), 1999–2022.

By: E. Rutter n, H. Banks n & K. Flores n

author keywords: Glioblastoma multiforme; Random differential equation; Parameter estimation
MeSH headings : Antineoplastic Agents / therapeutic use; Brain Neoplasms / drug therapy; Brain Neoplasms / pathology; Cell Movement; Cell Proliferation; Computer Simulation; Glioblastoma / drug therapy; Glioblastoma / pathology; Humans; Mathematical Concepts; Models, Biological; Neoplasm Invasiveness / pathology; Phenotype; Probability; Spatio-Temporal Analysis; Tumor Burden / drug effects
TL;DR: The predicted effect of treatment, specifically, chemotherapy, when assuming such a heterogeneous population and compare with predictions from a homogeneous cell population model are examined. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: December 17, 2018

2018 journal article

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

Bulletin of Mathematical Biology, 80(6), 1578–1595.

By: J. Lagergren n, A. Reeder n, F. Hamilton n, R. Smith n & K. Flores n

author keywords: State space reconstruction; Uncertainty quantification; Structured population model; Forecasting
MeSH headings : Animals; Bayes Theorem; Coleoptera / pathogenicity; Coleoptera / physiology; Forecasting / methods; Mathematical Concepts; Models, Biological; Multivariate Analysis; Population Dynamics / statistics & numerical data; Uncertainty
TL;DR: An analysis of the results from Bayesian inference for the mechanistic model and hybrid models is performed to suggest reasons why hybrid modeling methodology may enable more accurate forecasts of multivariate systems than traditional approaches. (via Semantic Scholar)
Sources: Web Of Science, Crossref, ORCID
Added: August 6, 2018

2017 journal article

Continuous Structured Population Models for Daphnia magna

Bulletin of Mathematical Biology, 79(11), 2627–2648.

By: E. Rutter n, H. Banks n, G. LeBlanc n & K. Flores n

author keywords: Continuous structured population models; Inverse problems; Generalized least squares; Model selection; Information content; Residual plots
MeSH headings : Animals; Computer Simulation; Confidence Intervals; Daphnia / growth & development; Daphnia / physiology; Female; Fertility; Food; Least-Squares Analysis; Male; Mathematical Concepts; Models, Biological; Population Dynamics
TL;DR: The model is fit to experimental data using the generalized least-squares framework, and the authors use cross-validation and Akaike Information Criteria to select hyper-parameters and present the confidence intervals on parameter estimates. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (OpenAlex)
Source: Crossref
Added: July 20, 2019

2017 journal article

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

Inverse Problems in Science and Engineering, 26(2), 257–279.

author keywords: Structured population model; aggregate data; inverse problem; PDEs; prion; General biology and biomathematics
TL;DR: A mathematical and inverse problem formulation is developed to determine the amplification rate with prion aggregates from single-cell measurements observed in propagon amplification experiments, and results show that aggregate amplification rates for two prion variants are strongly bimodal, suggesting that the generational structure in the yeast population impacts the ability of prions aggregates to amplify. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Crossref
Added: July 20, 2019

2017 journal article

Hybrid modeling and prediction of dynamical systems

PLoS Computational Biology, 13(7).

By: F. Hamilton, A. Lloyd & K. Flores

Source: NC State University Libraries
Added: August 6, 2018

2017 journal article

Statistical error model comparison for logistic growth of green algae (Raphidocelis subcapitata)

Applied Mathematics Letters, 64, 213–222.

By: H. Banks n, E. Collins n, K. Flores n, P. Pershad n, M. Stemkovski n & L. Stephenson n

author keywords: Algae growth models; Parameter estimation; Uncertainty quantification; Asymptotic theory
TL;DR: A proportional error statistical model is suggested to be the most appropriate for logistic growth modeling of R. subcapitata continuous population growth. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Crossref, Web Of Science
Added: August 6, 2018

2016 journal article

Build to understand: synthetic approaches to biology

Integrative Biology, 8(4), 394–408.

By: L. Wang*, F. Wu*, K. Flores n, Y. Lai* & X. Wang*

MeSH headings : Animals; Bacillus subtilis / genetics; Cell Communication; Computer Simulation; Feedback, Physiological; Gene Expression; Gene Regulatory Networks; Humans; Models, Genetic; N-Acetylmuramoyl-L-alanine Amidase / chemistry; Oscillometry; Stochastic Processes; Synthetic Biology / methods
TL;DR: This review gives examples where experimentation with synthetic gene circuits has been used to understand four fundamental mechanisms intrinsic to development and disease: multistability, stochastic gene expression, oscillations, and cell-cell communication. (via Semantic Scholar)
Source: Crossref
Added: July 20, 2019

2016 journal article

On analytical and numerical approaches to division and label structured population models

APPLIED MATHEMATICS LETTERS, 60, 81–88.

By: H. Banks n, K. Flores n & S. Sindi*

author keywords: Division-structured population model; Heterogeneous cell populations; Protein dynamics
TL;DR: This work demonstrates that analytical solutions are possible for more general forms of intracellular dynamics offering the promise to lend mathematical insight into population dynamics in more realistic biological settings. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2016 journal article

Validation of a mathematical model for green algae (Raphidocelis Subcapitata) growth and implications for a coupled dynamical system with Daphnia magna

Applied Sciences-Basel, 6(5).

By: M. Stemkovski, R. Baraldi, K. Flores & H. Banks

Source: NC State University Libraries
Added: August 6, 2018

2015 journal article

Correlation of parameter estimators for models admitting multiple parametrizations

International Journal of Pure and Applied Mathematics, 105(3), 497–522.

By: K. Adoteye n, R. Baraldi, K. Flores, J. Nardini, H. Banks & W. Thompson

Source: Crossref
Added: August 18, 2019

2015 journal article

Estimation of time-varying mortality rates using continuous models for Daphnia magna

APPLIED MATHEMATICS LETTERS, 44, 12–16.

By: K. Adoteye n, H. Banks n, K. Flores n & G. LeBlanc n

author keywords: Structured population model; Leslie matrix model; Sinko-Streifer model; Daphnia magna; Time-dependent mortality rate
TL;DR: It is found that a continuous differential equation model with a time-varying mortality rate was the most accurate model for describing the authors' experimental D. magna survival data. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (Web of Science; OpenAlex)
Sources: Web Of Science, ORCID
Added: August 6, 2018

2015 journal article

Immuno-modulatory strategies for reduction of HIV reservoir cells

JOURNAL OF THEORETICAL BIOLOGY, 372, 146–158.

By: H. Banks n, K. Flores n, S. Hu n, E. Rosenberg*, M. Buzon*, X. Yu*, M. Lichterfeld*

author keywords: Immune response; Mathematical model; Inverse problem; Stability analysis
MeSH headings : Anti-HIV Agents / chemistry; CD4-Positive T-Lymphocytes / immunology; CD4-Positive T-Lymphocytes / virology; CD8-Positive T-Lymphocytes / immunology; CD8-Positive T-Lymphocytes / virology; Cell Proliferation; Computer Simulation; HIV Infections / immunology; HIV Infections / therapy; HIV-1; Homeostasis; Humans; Models, Biological; Viral Load; Virus Latency
TL;DR: The findings indicate that the strategy of reactivating the reservoir combined with enhancement of the killing rate of HIV-specific CD8+ T cells is able to eradicate the reservoir. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (Web of Science; OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2015 journal article

Optimal design for minimizing uncertainty in dynamic equilibrium systems

Eurasian Journal of Mathematical and Computer Applications, 3(1), 23–47.

By: H. Banks, R. Baraldi & K. Flores

Source: NC State University Libraries
Added: July 10, 2019

2015 journal article

Optimal design of non-equilibrium experiments for genetic network interrogation

APPLIED MATHEMATICS LETTERS, 40, 84–89.

By: K. Adoteye n, H. Banks n & K. Flores n

author keywords: Optimal experimental design; Inverse problem; Uncertainty analysis; Brome mosaic virus; Synthetic biology; Genetic networks
TL;DR: An optimal design algorithm is developed that calculates optimal observation times in conjunction with optimal experimental perturbations in order to maximize the amount of information gained from longitudinal data derived from such experiments. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2015 journal article

Statistical validation of structured population models for Daphnia magna

Mathematical Biosciences, 266, 73–84.

By: K. Adoteye n, H. Banks n, K. Cross n, S. Eytcheson n, K. Flores n, G. LeBlanc n, T. Nguyen n, C. Ross n ...

author keywords: Sensitivity analysis; Structured population model; Uncertainty quantification; Density-dependence; Multi-scale data; Daphnia magna
MeSH headings : Animals; Daphnia; Models, Statistical; Population Dynamics
TL;DR: This study develops structured population models that exemplify specific mechanisms and uses multi-scale experimental data in order to test their importance, and shows that fecundity and survival rates are affected by both time-varying density-independent factors and density-dependent factors. (via Semantic Scholar)
Sources: Web Of Science, ORCID, Crossref
Added: August 6, 2018

2015 journal article

The genomes of two key bumblebee species with primitive eusocial organization

Genome Biology, 16.

By: B. Sadd, S. Barribeau, G. Bloch, D. Graaf, P. Dearden, C. Elsik, J. Gadau, C. Grimmelikhuijzen ...

Source: NC State University Libraries
Added: August 6, 2018

2015 journal article

UNCERTAINTY QUANTIFICATION IN MODELING HIV VIRAL MECHANICS

MATHEMATICAL BIOSCIENCES AND ENGINEERING, 12(5), 937–964.

By: H. Banks n, R. Baraldi*, K. Cross*, K. Flores*, C. Mcchesney*, L. Poag*, E. Thorpe n

MeSH headings : Algorithms; Anti-HIV Agents / therapeutic use; CD4-Positive T-Lymphocytes / virology; Clinical Trials as Topic; HIV Infections / drug therapy; HIV Infections / physiopathology; HIV Infections / virology; HIV-1 / physiology; Humans; Least-Squares Analysis; Models, Biological; Models, Statistical; RNA, Viral / analysis; Reverse Transcriptase Inhibitors / therapeutic use; Uncertainty; Viral Load
TL;DR: An in-host model for HIV-1 infection dynamics developed and validated with patient data in earlier work is considered and Bootstrapping and asymptotic theory are compared in the context of confidence intervals for the resulting parameter estimates. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (Web of Science; OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2014 conference paper

Uncertainty quantification for a model of HIV-1 patient response to antiretroviral therapy interruptions

2014 american control conference (acc), 2753–2758.

Source: NC State University Libraries
Added: August 6, 2018

2013 journal article

A mathematical model of RNA3 recruitment in the replication cycle of Brome Mosaic Virus

International Journal of Pure and Applied Mathematics, 89(2), 251–274.

By: T. Huffman, K. Link, J. Nardini, L. Poag, K. Flores, H. Banks, B. Blasco, J. Jungfleisch, J. Diez

Source: Crossref
Added: August 18, 2019

2013 journal article

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

APPLIED MATHEMATICS LETTERS, 26(7), 794–798.

By: K. Flores n

author keywords: Structured population models; Distributed parameters; Gene regulatory networks; Gene expression noise; Synthetic biology
TL;DR: The results suggest that cellular switching between high and low expression states and transcriptional re-initiation are important factors needed to accurately describe gene expression noise with a structured population model. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2013 journal article

DATA AND IMPLICATION BASED COMPARISON OF TWO CHRONIC MYELOID LEUKEMIA MODELS

MATHEMATICAL BIOSCIENCES AND ENGINEERING, 10(5-6), 1501–1518.

By: R. Everett, Y. Zhao, K. Flores* & Y. Kuang

author keywords: Chronic myeloid leukemia; clinical data; drug resistance; cancer modeling
MeSH headings : Algorithms; Benzamides / administration & dosage; Computer Simulation; Drug Resistance, Neoplasm; Fusion Proteins, bcr-abl / metabolism; Hematopoietic Stem Cells / metabolism; Humans; Imatinib Mesylate; Leukemia, Myelogenous, Chronic, BCR-ABL Positive / epidemiology; Leukemia, Myelogenous, Chronic, BCR-ABL Positive / physiopathology; Models, Biological; Mutation; Piperazines / administration & dosage; Pyrimidines / administration & dosage; Randomized Controlled Trials as Topic; Time Factors; Treatment Outcome
TL;DR: It is suggested that including sub-cellular mechanisms in a mathematical model of CML can increase the accuracy of parameter estimation and may help to predict long-term drug resistance. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (Web of Science; OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2013 journal article

The Role of Methylation of DNA in Environmental Adaptation

Integrative and Comparative Biology, 53(2), 359–372.

By: K. Flores*, F. Wolschin* & G. Amdam*

MeSH headings : Adaptation, Physiological / genetics; Animals; Base Sequence / genetics; Bees / genetics; Bees / physiology; DNA Methylation / genetics; Environment; Evolution, Molecular; Genetic Variation; Genome, Insect / genetics; Mutation / genetics; Phenotype
TL;DR: It is proposed that environmentally-induced DNA methylation causes phenotypic heterogeneity that provides a substrate for selection via forces that act on the epigenetic machinery, and selectively favored transitory alterations in the genome invoked byDNA methylation could ultimately become selectable genetic variation through mutation. (via Semantic Scholar)
UN Sustainable Development Goal Categories
15. Life on Land (OpenAlex)
Source: Crossref
Added: July 20, 2019

2012 journal article

Genome-wide association between DNA methylation and alternative splicing in an invertebrate

BMC Genomics, 13(1), 480.

By: K. Flores*, F. Wolschin*, J. Corneveaux*, A. Allen*, M. Huentelman* & G. Amdam*

MeSH headings : Alternative Splicing; Animals; Base Sequence; Bees / genetics; Conserved Sequence; CpG Islands; DNA Methylation; Evolution, Molecular; Exons / genetics; Gene Expression Profiling; Genes, Insect; Genome-Wide Association Study; Molecular Sequence Data; Sequence Analysis, RNA; Transcriptome; Wasps / genetics
TL;DR: The finding that methylated genes are enriched for alternative splicing suggests that, in invertebrates, exon-level DNA methylation may play a role in the construction of splice variants by positively influencing exon inclusion during transcription. (via Semantic Scholar)
UN Sustainable Development Goal Categories
15. Life on Land (OpenAlex)
Source: Crossref
Added: July 20, 2019

2011 journal article

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

Journal of Experimental Biology, 214(19), 3155–3163.

By: K. Flores* & G. Amdam*

author keywords: CG methylation; DNA sequencing; genome analysis; honeybee genome; epigenetics
MeSH headings : Animals; Bees / genetics; Computational Biology / methods; Cytosine / metabolism; DNA Methylation / genetics; Epigenomics / methods; Genome / genetics
Source: Crossref
Added: July 20, 2019

2010 journal article

The random walk of Azospirillum brasilense

Journal of Biological Dynamics, 4(1), 71–85.

By: K. Flores* & K. Hadeler*

MeSH headings : Azospirillum brasilense / physiology; Models, Biological; Movement
TL;DR: A model is presented in which a correlated random walk on a line is joined to diffusion on a sphere of directions, ranging from a hyperbolic system with four dependent variables to a scalar damped wave equation and then to a single diffusion equation for particle density. (via Semantic Scholar)
Source: Crossref
Added: July 20, 2019

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