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open access

Measuring the impact of suspending Umrah, a global mass gathering in Saudi Arabia on the COVID‑19 pandemic

Description: This article uses a stratified SEIR epidemic model to evaluate the impact of Umrah, a global Muslim pilgrimage to Mecca, on the spread of the COVID-19 pandemic during the month of Ramadan, the peak of the Umrah season. The analyses provide insights into the effects of global mass gatherings on the progression of the COVID-19 pandemic locally and globally.
Date: September 6, 2021
Creator: Alshammari, Sultanah M.; Almutiry, Waleed K.; Gwalani, Harsha; Algarni, Saeed M. & Saeedi, Kawther
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Partner: UNT College of Engineering
open access

Modeling the 2013 Zika Outbreak in French Polynesia: Intervention Strategies

Description: Paper presents a model that simulates the 2013–2014 French Polynesia Zika outbreak, incorporating the temperature dependent mosquito ecology and the local transit network (flights and ferries), highlighting the importance of human travel patterns and mosquito population dynamics in a disease outbreak.
Date: August 24, 2018
Creator: Gwalani, Harsha; Hawamdeh, Faris; Mikler, Armin R. & Xiong, Katherine
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Partner: UNT College of Engineering
open access

PPAD: a deep learning architecture to predict progression of Alzheimer’s disease

Description: Article asserts that Alzheimer’s disease (AD) is a neurodegenerative disease that affects millions of people worldwide. The authors of the article propose two deep learning architectures based on RNN, namely Predicting Progression of Alzheimer’s Disease (PPAD) and PPAD-Autoencoder.
Date: June 30, 2023
Creator: Olaimat, Mohammad Al; Martinez, Jared; Saeed, Fahad & Bozdag, Serdar
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Partner: UNT College of Engineering
open access

NRPreTo: A Machine Learning-Based Nuclear Receptor and Subfamily Prediction Tool

Description: Article asserts that the nuclear receptor (NR) superfamily includes phylogenetically related ligand-activated proteins, which play a key role in various cellular activities. The authors developed Nuclear Receptor Prediction Tool (NRPreTo), a two-level NR prediction tool with a unique training approach where in addition to the sequence-based features used by existing NR prediction tools, six additional feature groups depicting various physiochemical, structural, and evolutionary features of prot… more
Date: May 30, 2023
Creator: Madugula, Sita Sirisha; Pandey, Suman; Amalapurapu, Shreya & Bozdag, Serdar
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Partner: UNT College of Engineering
open access

Bayesian analysis of complex mutations in HBV, HCV, and HIV studies

Description: This article provides a review of the Bayesian-inference-based methods applied to Hepatitis B Virus (HBV), Hepatitis C Virus (HCV), and Human Immunodeficiency Virus (HIV) studies with a focus on the detection of the viral mutations and various problems which are correlated to these mutations. The authors also provide a summary of the Bayesian methods' applications toward these viruses' studies, where several important and useful results have been discovered.
Date: April 4, 2019
Creator: Guo, Xuan; Liu, Bing; Feng, Shishi & Zhang, Jing
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Partner: UNT College of Engineering
open access

SUPREME: multiomics data integration using graph convolutional networks

Description: Article states that, to pave the road towards precision medicine in cancer, patients with similar biology ought to be grouped into same cancer subtypes. On breast cancer subtyping, unlike existing tools, SUPREME generates patient embeddings from multiple similarity networks utilizing multiomics features and integrates them with raw features to capture complementary signals.
Date: June 28, 2023
Creator: Kesimoglu, Ziynet Nesibe & Bozdag, Serdar
Item Type: Refine your search to only Article
Partner: UNT College of Engineering
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