Weighted persistent homology for biomolecular data analysis

• المؤلفون الرئيسيون: Meng, Zhenyu, Anand, D. Vijay, Lu, Yunpeng, Wu, Jie, Xia, Kelin
• مؤلفون آخرون: School of Physical and Mathematical Sciences
• التنسيق: مقال
• اللغة: English
• منشور في: 2021
• الموضوعات: Science::Biological sciences; Biophysical Chemistry; Structural Biology
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/146211
• المؤسسة: Nanyang Technological University

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...