Weighted persistent homology for biomolecular data analysis

Weighted persistent homology for biomolecular data analysis

In this paper, we systematically review weighted persistent homology (WPH) models and their applications in biomolecular data analysis. Essentially, the weight value, which reflects physical, chemical and biological properties, can be assigned to vertices (atom centers), edges (bonds), or higher ord...

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Bibliographic Details
Main Authors: Meng, Zhenyu, Anand, D. Vijay, Lu, Yunpeng, Wu, Jie, Xia, Kelin
Other Authors: School of Physical and Mathematical Sciences
Format: Article
Language:English
Published: 2021
Subjects:
Science::Biological sciences
Biophysical Chemistry
Structural Biology
Online Access:https://hdl.handle.net/10356/146211
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https://hdl.handle.net/10356/146211

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