Zixuan Cang, UC Irvine, Topological and Geometric Data Analysis Meets Data-driven Biology
ZoomTopological and geometric data analysis (TGDA) is a powerful framework for quantitative description and simplification of datasets' shapes. It is especially suitable for modern biological data that are intrinsically complex and high-dimensional. Traditional topological data analysis considers the geometric features of a dataset, while in practice, there could be both geometric and non-geometric features. In…