A Machine Learning and Networks Approach to Infer Disease Mechanisms

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dc.contributor.advisorBaranova, Ancha
dc.creatorKural, Kamil Can
dc.date.accessioned2023-04-10T18:46:31Z
dc.date.issued2022
dc.description.abstractAll biological problems, including cancer, mental disorders, rare diseases, and immunological disorders, are complex multisystem pathophysiological shifts facilitated by functional changes. Multiple points of origin and mechanisms can contribute, including genetic mutations, epigenetic factors, protein misfolding, and differential gene expression, which promote such functional abnormalities. This dissertation describes mega-analysis and machine learning methods to identify and select essential entities that are prime candidates for drivers of such disorganization. Furthermore, heterogeneous networks have been employed to achieve a more thorough pathway analysis that takes protein-protein interactions into account. This dissertation contains four projects, investigating PPARD’s role in major depressive disorder, exploring the link between schizophrenia and myocardial infarctions, identifying the connections between atopic dermatitis and major depressive disorder, and finally, biomarker identification for survival status prediction of patients with brain cancer.
dc.description.embargo2024-08-31
dc.description.noteThis work is embargoed by the author and will not be publicly available until 2024-08-31.
dc.format.extent201 pages
dc.format.mediumdoctoral dissertations
dc.identifier.urihttps://hdl.handle.net/1920/13252
dc.language.isoen
dc.rightsCopyright 2022 Kamil Can Kural
dc.rights.urihttps://rightsstatements.org/vocab/InC/1.0
dc.subjectBiomarker Discovery
dc.subjectGraph Databases
dc.subjectMachine learning
dc.subjectMage-Analysis
dc.subjectPathway Analysis
dc.subjectProtein-Protein Interactions
dc.subject.keywordsBioinformatics
dc.subject.keywordsComputer science
dc.subject.keywordsStatistics
dc.titleA Machine Learning and Networks Approach to Infer Disease Mechanisms
dc.typeText
thesis.degree.disciplineBioinformatics and Computational Biology
thesis.degree.grantorGeorge Mason University
thesis.degree.levelDoctoral
thesis.degree.namePh.D. in Bioinformatics and Computational Biology

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