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part 2 to infectious mononucleosis with search of miRNA top gene targets and machine learning to verify top target gene
This is an extension to the earlier infectious mononucleosis project that looks at all patients that participated in the study up to 1 month and tests a 2 class model as well as 3 class model in predicting mono or healthy or initial diagnosis, 1 month of mono, or healthy. The 2 class model scored perfect with 100% accuracy while the 3 class model only scored perfect in predicting healthy classes but not state of infection progress.
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Exploring Global Development Patterns Using Principal Component Analysis and Clustering
Global development is often oversimplified into a single-track race measured by GDP. However, economic wealth alone is a deceptive proxy for progress; a nation can possess high financial reserves while struggling with low literacy or high child mortality. This project moves beyond one-dimensional rankings.