Persistent homology of complex networks for dynamic state detection

A Myers, E Munch, FA Khasawneh - Physical Review E, 2019 - APS
In this paper we develop an alternative topological data analysis (TDA) approach for
studying graph representations of time series of dynamical systems. Specifically, we show …

Functional summaries of persistence diagrams

E Berry, YC Chen, J Cisewski-Kehe… - Journal of Applied and …, 2020 - Springer
One of the primary areas of interest in applied algebraic topology is persistent homology,
and, more specifically, the persistence diagram. Persistence diagrams have also become …

Approximating continuous functions on persistence diagrams using template functions

JA Perea, E Munch, FA Khasawneh - Foundations of Computational …, 2023 - Springer
The persistence diagram is an increasingly useful tool from Topological Data Analysis, but
its use alongside typical machine learning techniques requires mathematical finesse. The …

Topological classification of tumour-immune interactions and dynamics

J Yang, H Fang, J Dhesi, IHR Yoon, JA Bull… - arXiv preprint arXiv …, 2023 - arxiv.org
The complex and dynamic crosstalk between tumour and immune cells results in tumours
that can exhibit distinct qualitative behaviours-elimination, equilibrium, and escape-and …