College of Engineering Unit:
Our project partner does statistical analysis to identify correlations between endometriosis and a variety of genetic factors in order to inform hypotheses and research practices. Currently, this activity is costly and time consuming because it takes expertise in data analysis. Our project will automate this process instead of requiring a graduate student to do it, and will therefore allow the data to be analyzed and interpreted without requiring human understanding of the technical details, and can instead be done through an intuitive user interface. If we complete additional features, our project will also be able to perform other analysis techniques and provide interpretable visualizations. These things would also reduce time-consuming work for the lab and expedite their research.