Persistent Topology of Protein Space
Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review
Protein fold classification is a classic problem in structural biology and bioinformatics. We approach this problem using persistent homology. In particular, we use alpha shape filtrations to compare a topological representation of the data with a different representation that makes use of knot-theoretic ideas. We use the statistical method of Angle-based Joint and Individual Variation Explained (AJIVE) to understand similarities and differences between these representations.
Original language | English |
---|---|
Title of host publication | Research in Computational Topology 2 |
Publisher | Springer |
Publication date | 2022 |
Pages | 223-244 |
ISBN (Print) | 978-3-030-95518-2 |
ISBN (Electronic) | 978-3-030-95519-9 |
DOIs | |
Publication status | Published - 2022 |
Series | Association for Women in Mathematics Series |
---|---|
Volume | 30 |
ISSN | 2364-5733 |
Bibliographical note
Publisher Copyright:
© 2022, The Author(s) and the Association for Women in Mathematics.
ID: 309122829