Medicine and Health Sciences Commons^™

A Machine Learning Framework For Identifying Molecular Biomarkers From Transcriptomic Cancer Data, Md Abdullah Al Mamun

FIU Electronic Theses and Dissertations

Cancer is a complex molecular process due to abnormal changes in the genome, such as mutation and copy number variation, and epigenetic aberrations such as dysregulations of long non-coding RNA (lncRNA). These abnormal changes are reflected in transcriptome by turning oncogenes on and tumor suppressor genes off, which are considered cancer biomarkers.

However, transcriptomic data is high dimensional, and finding the best subset of genes (features) related to causing cancer is computationally challenging and expensive. Thus, developing a feature selection framework to discover molecular biomarkers for cancer is critical.

Traditional approaches for biomarker discovery calculate the fold change for each …

Therapeutic Approaches To Alter Mineral Formation And Growth In Vascular Calcification, Amirala Bakhshiannik

FIU Electronic Theses and Dissertations

Cardiovascular diseases represent the global leading cause of morbidity and mortality. Cardiovascular calcification is the most significant predictor of cardiovascular events, but no therapeutic options exist to prevent or treat mineral formation in the vasculature. The presence of bone-like mineral increases cardiac work required to move blood through systemic circulation and can lead to mechanical stress in atherosclerotic plaques, promoting plaque rupture events that cause heart attacks. Clinical trials correlated bisphosphonates (BiPs), common anti-osteoporosis pharmaceuticals, with contradicting cardiovascular outcomes. Here, we demonstrated the importance of treatment timing in BiP-induced mineral disruption or promotion. We showed that BiPs can alter morphological …