Eva K. Lee
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View article: The NIH Research Centers in Minority Institutions (RCMI): National and Public Health Impact as Measured by Collaborative Scientific Excellence, Investigator Development, and Community Engagement
The NIH Research Centers in Minority Institutions (RCMI): National and Public Health Impact as Measured by Collaborative Scientific Excellence, Investigator Development, and Community Engagement Open
Background: The National Institutes of Health (NIH) established the Research Centers in Minority Institutions (RCMI) Program in response to the Congressional language in House Report 98-911 to establish research centers in predominantly mi…
View article: A Personalized Dosing Strategy Optimization for Diabetes Management: Applications to Gestational Diabetes Mellitus.
A Personalized Dosing Strategy Optimization for Diabetes Management: Applications to Gestational Diabetes Mellitus. Open
Type II diabetes mellitus is a disorder that disrupts the way the body uses glucose. It is managed by close monitoring of blood glucose levels while the clinician experiments with a dosing strategy based on some clinical guidelines and his…
View article: Temporal and spatial analysis of over 7,000 measles cases outbreak from 2018 to 2019 in the Brazilian Amazon
Temporal and spatial analysis of over 7,000 measles cases outbreak from 2018 to 2019 in the Brazilian Amazon Open
Understanding the spatial and temporal spread of measles outbreaks provides insights for decision-making regarding measures to mitigate future epidemics.
View article: Supplementary Table 4 from A Multifactorial Signature of DNA Sequence and Polycomb Binding Predicts Aberrant CpG Island Methylation
Supplementary Table 4 from A Multifactorial Signature of DNA Sequence and Polycomb Binding Predicts Aberrant CpG Island Methylation Open
Supplementary Table 4 from A Multifactorial Signature of DNA Sequence and Polycomb Binding Predicts Aberrant CpG Island Methylation
View article: Supplementary Table 1 from A Multifactorial Signature of DNA Sequence and Polycomb Binding Predicts Aberrant CpG Island Methylation
Supplementary Table 1 from A Multifactorial Signature of DNA Sequence and Polycomb Binding Predicts Aberrant CpG Island Methylation Open
Supplementary Table 1 from A Multifactorial Signature of DNA Sequence and Polycomb Binding Predicts Aberrant CpG Island Methylation
View article: Supplementary Table 2 from A Multifactorial Signature of DNA Sequence and Polycomb Binding Predicts Aberrant CpG Island Methylation
Supplementary Table 2 from A Multifactorial Signature of DNA Sequence and Polycomb Binding Predicts Aberrant CpG Island Methylation Open
Supplementary Table 2 from A Multifactorial Signature of DNA Sequence and Polycomb Binding Predicts Aberrant CpG Island Methylation
View article: Supplementary Table 1 from A Multifactorial Signature of DNA Sequence and Polycomb Binding Predicts Aberrant CpG Island Methylation
Supplementary Table 1 from A Multifactorial Signature of DNA Sequence and Polycomb Binding Predicts Aberrant CpG Island Methylation Open
Supplementary Table 1 from A Multifactorial Signature of DNA Sequence and Polycomb Binding Predicts Aberrant CpG Island Methylation
View article: Supplementary Table 3 from A Multifactorial Signature of DNA Sequence and Polycomb Binding Predicts Aberrant CpG Island Methylation
Supplementary Table 3 from A Multifactorial Signature of DNA Sequence and Polycomb Binding Predicts Aberrant CpG Island Methylation Open
Supplementary Table 3 from A Multifactorial Signature of DNA Sequence and Polycomb Binding Predicts Aberrant CpG Island Methylation
View article: Supplementary Figures 1-3 from A Multifactorial Signature of DNA Sequence and Polycomb Binding Predicts Aberrant CpG Island Methylation
Supplementary Figures 1-3 from A Multifactorial Signature of DNA Sequence and Polycomb Binding Predicts Aberrant CpG Island Methylation Open
Supplementary Figures 1-3 from A Multifactorial Signature of DNA Sequence and Polycomb Binding Predicts Aberrant CpG Island Methylation
View article: Supplementary Table 4 from A Multifactorial Signature of DNA Sequence and Polycomb Binding Predicts Aberrant CpG Island Methylation
Supplementary Table 4 from A Multifactorial Signature of DNA Sequence and Polycomb Binding Predicts Aberrant CpG Island Methylation Open
Supplementary Table 4 from A Multifactorial Signature of DNA Sequence and Polycomb Binding Predicts Aberrant CpG Island Methylation
View article: Supplementary Figures 1-3 from A Multifactorial Signature of DNA Sequence and Polycomb Binding Predicts Aberrant CpG Island Methylation
Supplementary Figures 1-3 from A Multifactorial Signature of DNA Sequence and Polycomb Binding Predicts Aberrant CpG Island Methylation Open
Supplementary Figures 1-3 from A Multifactorial Signature of DNA Sequence and Polycomb Binding Predicts Aberrant CpG Island Methylation
View article: Supplementary Materials from A Multifactorial Signature of DNA Sequence and Polycomb Binding Predicts Aberrant CpG Island Methylation
Supplementary Materials from A Multifactorial Signature of DNA Sequence and Polycomb Binding Predicts Aberrant CpG Island Methylation Open
Supplementary Materials from A Multifactorial Signature of DNA Sequence and Polycomb Binding Predicts Aberrant CpG Island Methylation
View article: Data from A Multifactorial Signature of DNA Sequence and Polycomb Binding Predicts Aberrant CpG Island Methylation
Data from A Multifactorial Signature of DNA Sequence and Polycomb Binding Predicts Aberrant CpG Island Methylation Open
Aberrant CpG island methylation is associated with transcriptional silencing of regulatory genes in human cancer. Although most CpG islands remain unmethylated, a subset accrues aberrant methylation in cancer via unknown mechanisms. Previo…
View article: Supplementary Table 2 from A Multifactorial Signature of DNA Sequence and Polycomb Binding Predicts Aberrant CpG Island Methylation
Supplementary Table 2 from A Multifactorial Signature of DNA Sequence and Polycomb Binding Predicts Aberrant CpG Island Methylation Open
Supplementary Table 2 from A Multifactorial Signature of DNA Sequence and Polycomb Binding Predicts Aberrant CpG Island Methylation
View article: Supplementary Table 3 from A Multifactorial Signature of DNA Sequence and Polycomb Binding Predicts Aberrant CpG Island Methylation
Supplementary Table 3 from A Multifactorial Signature of DNA Sequence and Polycomb Binding Predicts Aberrant CpG Island Methylation Open
Supplementary Table 3 from A Multifactorial Signature of DNA Sequence and Polycomb Binding Predicts Aberrant CpG Island Methylation
View article: Data from A Multifactorial Signature of DNA Sequence and Polycomb Binding Predicts Aberrant CpG Island Methylation
Data from A Multifactorial Signature of DNA Sequence and Polycomb Binding Predicts Aberrant CpG Island Methylation Open
Aberrant CpG island methylation is associated with transcriptional silencing of regulatory genes in human cancer. Although most CpG islands remain unmethylated, a subset accrues aberrant methylation in cancer via unknown mechanisms. Previo…
View article: Supplementary Materials from A Multifactorial Signature of DNA Sequence and Polycomb Binding Predicts Aberrant CpG Island Methylation
Supplementary Materials from A Multifactorial Signature of DNA Sequence and Polycomb Binding Predicts Aberrant CpG Island Methylation Open
Supplementary Materials from A Multifactorial Signature of DNA Sequence and Polycomb Binding Predicts Aberrant CpG Island Methylation
View article: A Patient-Centered Data-Driven Analysis of Epidural Anesthesia
A Patient-Centered Data-Driven Analysis of Epidural Anesthesia Open
This study investigates safety and efficacy of a large-dose, needle-based epidural technique where the anesthetic dose is administered through an epidural needle prior to insertion of the epidural catheter. Using a data-driven machine lear…
View article: New PK/PD model directly links diabetes drug dose to blood glucose level for personalized care.
New PK/PD model directly links diabetes drug dose to blood glucose level for personalized care. Open
The management of diabetes mellitus focuses on close monitoring of a patient's blood glucose level while the clinician experiments with a dosing strategy using clinical guidelines and his/her own experience. We propose a pharmacokinetic an…
View article: Analyzing Strategies for Containing Avian Influenza.
Analyzing Strategies for Containing Avian Influenza. Open
In this paper, we couple a general-purpose infectious disease theory with a computational modeling framework to analyze strategies for avian influenza containment. We focus on virus transmission among domestic poultry populations to optimi…
View article: Strategies for Vaccine Prioritization and Mass Dispensing
Strategies for Vaccine Prioritization and Mass Dispensing Open
We propose a system that helps decision makers during a pandemic find, in real time, the mass vaccination strategies that best utilize limited medical resources to achieve fast containments and population protection. Our general-purpose fr…
View article: Strategies for Disease Containment: A Biological-Behavioral-Intervention Computational Informatics Framework.
Strategies for Disease Containment: A Biological-Behavioral-Intervention Computational Informatics Framework. Open
In this study, we describe the development and use of a biological-behavior-intervention computational informatics framework that combines disease modelling for infectious virus with stratifications for social behavior and employment, and …
View article: CERC: an interactive content extraction, recognition, and construction tool for clinical and biomedical text
CERC: an interactive content extraction, recognition, and construction tool for clinical and biomedical text Open
Background Automated summarization of scientific literature and patient records is essential for enhancing clinical decision-making and facilitating precision medicine. Most existing summarization methods are based on single indicators of …
View article: Antigenicity prediction and vaccine recommendation of human influenza virus A (H3N2) using convolutional neural networks
Antigenicity prediction and vaccine recommendation of human influenza virus A (H3N2) using convolutional neural networks Open
The rapid evolution of influenza A viruses poses a great challenge to vaccine development. Analytical and machine learning models have been applied to facilitate the process of antigenicity determination. In this study, we designed deep co…
View article: US-Mexico Border: Building a Smarter Wall through Strategic Security
US-Mexico Border: Building a Smarter Wall through Strategic Security Open
We offer a quantitative construct for optimizing security measure investments, to achieve the most costeffective deterrence and detection capabilities for the U.S. Customs and Border Patrol (CBP). We constructed a large-scale multiple-obje…
View article: Methods for predicting vaccine immunogenicity and reactogenicity
Methods for predicting vaccine immunogenicity and reactogenicity Open
Subjects receiving the same vaccine often show different levels of immune responses and some may even present adverse side effects to the vaccine. Systems vaccinology can combine omics data and machine learning techniques to obtain highly …
View article: Investigating a Needle-Based Epidural Procedure in Obstetric Anesthesia.
Investigating a Needle-Based Epidural Procedure in Obstetric Anesthesia. Open
This study investigates the safety and efficacy of a large-dose, needle-based epidural technique in obstetric anesthesia. The technique differs from a standard, catheter-based approach in that the anesthetic dose is administered through an…
View article: SEACOIN 2.0 – an interactive mining and visualization tool for information retrieval, summarization, and knowledge discovery
SEACOIN 2.0 – an interactive mining and visualization tool for information retrieval, summarization, and knowledge discovery Open
Motivation The rapidly increasing size of biomedical databases such as MEDLINE requires the use of intelligent data mining methods for information extraction and summarization. Existing biomedical text-mining tools have limited capabilitie…
View article: optSelect: using agent-based modeling and binary PSO techniques for ensemble feature selection and stability assessment
optSelect: using agent-based modeling and binary PSO techniques for ensemble feature selection and stability assessment Open
Motivation Recent studies have shown that the ensemble feature selection approaches are essential for generating robust classifiers. Existing methods for aggregating feature lists from different methods require use of arbitrary thresholds …