The Parkinson's Progression Markers Initiative (PPMI) has collected more than a decade's
worth of longitudinal and multi-modal data from patients, healthy controls, and at-risk …

Lysosomes are membrane-bound organelles with an acidic lumen and are traditionally
characterized as a recycling center in cells. Lysosomal ion channels are integral membrane …

Many studies have been conducted with the goal of correctly predicting diagnostic status of
a disorder using the combination of genomic data and machine learning. It is often hard to …

Polygenic risk score (PRS) is a quantity that aggregates the effects of variants across the
genome and estimates an individual's genetic predisposition for a given trait. PRS analysis …

Parkinson's Disease (PD) is a neurodegenerative disorder with highly heterogeneous
phenotypes. Accordingly, it has been challenging to robustly identify genetic factors …

Despite heritability estimates that suggest a high ceiling for the classification of many
complex genetic disorders, current models have only been moderately successful at …

This thesis is concerned with exploring the use of machine learning in comparison to
traditional linear methods for the genomic prediction of complex traits. Special attention is …