Date of Award
5-1-2024
Degree Name
Master of Science
Department
Biomedical Engineering
First Advisor
Kagaris, Dimitrios
Abstract
This study investigates the applicability of the statistical methods in relation to cancer research aiming to extract critical genes from a diverse range of data sets. The metrics evaluated in this paper are the area-under-the-curve, the partial-area-under-the-curve, the partial-recall-curve, the Cucconi test, and the Jensen-Shannon divergence. Through comprehensive analysis this paper reveals strengths and limitations of each of the different metrics in the context of gene expressions, providing insight for future research. The findings underscore the significance of metric selection tailored to clinical goals.
Access
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