Browsing OU - Dissertations by Author "Pan, Chongle"
Now showing items 1-7 of 7
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Compression techniques for extreme-scale graphs and matrices: sequential and parallel algorithms
Gopal Krishna, Sudhindra (2023-08-04)A graph G = (V, E) is an ordered tuple where V is a non-empty set of elements called vertices (nodes), and E is a set of an unordered pair of elements called links (edges), and a time-evolving graph is a change in the ... -
Developing and Applying Hybrid Deep Learning Models for Computer-Aided Diagnosis of Medical Image Data
Mudduluru, Sanjana (2023)The dissertation discusses three methods to address the challenges of applying deep learning models to medical imaging. The first method involves the development of a new joint deep learning model, J-Net, to achieve lesion ... -
The Effects of Pharmaceutical Intervention on Neural Connectivity and Complexity in Fragile X Syndrome
Auger, Emma (2023-12-15)This study aims to investigate the effects of targeted pharmaceutical interventions on brain networks in individuals with Fragile X Syndrome (FXS). Focusing on three drugs tested in phase 2 clinical trials – (1) a metabatropic ... -
Exploring cell heterogeneity: applications of single-probe single cell mass spectrometry for subpopulation analysis
Nguyen, Tra (2023-12-15)Mass spectrometry (MS) has become an indispensable tool for transformed metabolomics studies, whereas exploring single-cell metabolomic profiles remains a challenge due to limited techniques and suitable algorithms. This ... -
Improvement of lignocellulose bioconversion in Clostridium cellulolyticum and identification of active lignocellulose degraders in temperate grassland
Tao, Xuanyu (2020-11)As the most abundant sustainable carbon resource on the earth, lignocellulose is considered as one of the most promising feedstocks to produce biofuels, which can mitigate the environmental issues brought by burning of ... -
Interpretable deep neural networks for more accurate predictive genomics and genome-wide association studies
Badré, Adrien (2023-05)Genome-wide association studies (GWAS) and predictive genomics have become increasingly important in genetics research over the past decade. GWAS involves the analysis of the entire genome of a large group of individuals ... -
Survival Prediction of Pediatric Leukemia under Model Uncertainty
Cui, Yuning (2024-05)This dissertation addresses critical challenges in survival prediction for pediatric leukemia, particularly Acute Lymphoblastic Leukemia (ALL), by introducing novel predictive models that incorporate Bayesian principles ...