A Pipeline for Data-Driven Learning of Topological Features with Applications to Protein Stability Prediction

Amish Mishra, Francis Motta

In this paper, we propose a data-driven method to learn interpretable topological features of biomolecular data and demonstrate the efficacy of parsimonious models trained on topol…