Tight basis cycle representatives for persistent homology of large biological data sets.
Persistent homology (PH) is a popular tool for topological data analysis that has found applications across diverse areas of research. It provides a rigorous method to compute robust topological features in discrete experimental observations that often contain various sources of uncertainties. Altho...
Saved in:
| Main Authors: | Manu Aggarwal, Vipul Periwal |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2023-05-01
|
| Series: | PLoS Computational Biology |
| Online Access: | https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1010341&type=printable |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Geometric and topological characterization of the cytoarchitecture of islets of Langerhans.
by: Manu Aggarwal, et al.
Published: (2023-11-01) -
Cell cycle-dependent induction of homologous recombination by a tightly regulated I-SceI fusion protein.
by: Andrea Hartlerode, et al.
Published: (2011-03-01) -
Machine learning of time series data using persistent homology
by: Takashi Ichinomiya
Published: (2025-07-01) -
Predicting Affinity Through Homology (PATH): Interpretable binding affinity prediction with persistent homology.
by: Yuxi Long, et al.
Published: (2025-06-01) -
The Comparison of Diffeomorphic Images Based on the Construction of Persistent Homology
by: Sergey N. Chukanov
Published: (2019-09-01)