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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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Detalles Bibliográficos
Autores principales: Meng, Zhenyu, Anand, D. Vijay, Lu, Yunpeng, Wu, Jie, Xia, Kelin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7005716/
https://www.ncbi.nlm.nih.gov/pubmed/32034168
http://dx.doi.org/10.1038/s41598-019-55660-3