Persistent topology of protein space [article]

W. Hamilton, J.E. Borgert, T. Hamelryck, J.S. Marron
2021 arXiv   pre-print
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.
arXiv:2102.06768v2 fatcat:u6wnzehxkvfpnbqvmbvzrjs4gm