I am conducting research with Gen Li at the Department of Biostatistics at Columbia University, Yvonne Saenger and Robyn Gartrell from Columbia University Medical Center.
My work involved:
Creating interactive heat maps and adopting clustering analysis to explore hierarchical structure of melanoma gene expression data. Building predictive model on recurrence using logistic regression with lasso penalty, and validated it on two separate cohorts using cross-validation with bootstrapping. Communicating results of analyses, modeling, and tests through data visualization, interactive apps, and writing in R Markdown.
This is my final project for Spring 2017 course: P8158 Latent Variable and Structural Equation Modeling for Health Sciences taught by Melanie M. Wall.
Abstract Uncontrolled hypertension can lead to serious health problems, including heart attack and stroke. Our data comes from the masked hypertension study, which collected ambulatory blood pressure data and measured physical activity using accelerometers in order to better understand what factors contribute to high blood pressure.