Abstract
Manifold Learning and Optimal Transport in Genomics Part 1
Andrew Blumberg
Columbia University
The purpose of this tutorial is to survey aspects of geometric data analysis that have seen substantial application in scientific inference from genomic data, with a particular focus on ideas coming from manifold learning (broadly construed) and closely related techniques from optimal transport.