Persistent topological Laplacian analysis of SARS-CoV-2 variants

Topological data analysis (TDA) is an emerging field in mathematics and data science. Its central technique, persistent homology, has had tremendous success in many science and engineering disciplines. However, persistent homology has limitations, including its inability to handle heterogeneous info...

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Veröffentlicht in:	Journal of computational biophysics and chemistry Jg. 22; H. 5; S. 569
Hauptverfasser:	Wei, Xiaoqi, Chen, Jiahui, Wei, Guo-Wei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Singapore 01.08.2023
Schlagworte:	Persistent Laplacian Mutation and binding induced protein structural changes Spectral data analysis Topological data analysis Persistent sheaf Laplacian Topological deep learning
ISSN:	2737-4173, 2737-4173
Online-Zugang:	Weitere Angaben
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