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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...

Täydet tiedot

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Bibliografiset tiedot
Julkaisussa:Sci Rep
Päätekijät: Meng, Zhenyu, Anand, D. Vijay, Lu, Yunpeng, Wu, Jie, Xia, Kelin
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Nature Publishing Group UK 2020
Aiheet:
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC7005716/
https://ncbi.nlm.nih.gov/pubmed/32034168
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-019-55660-3
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