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The field of microbiome research has grown exponentially in both popularity and importance over the past decade. Microbiome data consists of highly dimensional and comple [...]

Enormous data collection efforts and improvements in technology have made large-scale genome-wide association studies (GWAS) a promising approach to better understanding [...]

Nearly one in five children (17%) aged 2-8 were diagnosed with either a mental, emotional, developmental, or behavioral disorder in 2016 in the US. Early identification o [...]

Globally, attention-deficit/hyperactivity disorder (ADHD), affects children, adolescents and adults, and can cause reduced academic achievement, occupational struggles, a [...]

In recent years, there has been a significant academic drive to determine the cause of the missing heritability problem which is commonly associated with the genetics of [...]

Chromosomal abnormalities caused by genomic instability are a consistent feature of cancer cells. However, the mechanisms that lead to genomic instability and its role in [...]

Patient stratification is essential for addressing breast cancer's inter- and intra-heterogeneity. While the PAM50 classifier is widely regarded to be the gold standard f [...]

The significant inter- and intra-tumor heterogeneity observed in breast cancer patients presents an ongoing challenge that impedes accurate disease characterization and c [...]

The work presented in this dissertation focuses on the development of robust deep learning models to predict in-vitro cancer drug responses, with utility in precision onc [...]

It remains a substantial challenge to model psychopathology using neuroimaging data. High rates of comorbidity and heterogeneity between and within psychiatric disorders [...]