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...
Main Authors: | Meng, Zhenyu, Anand, D. Vijay, Lu, Yunpeng, Wu, Jie, Xia, Kelin |
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Other Authors: | School of Physical and Mathematical Sciences |
Format: | Journal Article |
Language: | English |
Published: |
2021
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/146211 |
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