Characterization of the heterogeneity in SARS-CoV-2 fitness dynamics via graph representation learning.

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Bibliographic Details
Title: Characterization of the heterogeneity in SARS-CoV-2 fitness dynamics via graph representation learning.
Authors: Wang, Zengmiao1 (AUTHOR) wangzengmiao@gmail.com, Zhou, Ziqin1 (AUTHOR), Wang, Junfu2 (AUTHOR), Yang, Lingyue1 (AUTHOR), Zhang, Zhirui3 (AUTHOR), Xu, Weina2 (AUTHOR), Liu, Zeming2 (AUTHOR), Ge, Yuxi1 (AUTHOR), Yang, Liang4 (AUTHOR), Wang, Xiaoli5,6,7 (AUTHOR), Yang, Peng5,6,7 (AUTHOR), Wang, Quanyi5,6,7 (AUTHOR), Cao, Yunlong8,9,10 (AUTHOR) yunlongcao@pku.edu.cn, Guo, Yuanfang2 (AUTHOR) andyguo@buaa.edu.cn, Tian, Huaiyu1,11 (AUTHOR) tianhuaiyu@gmail.com
Source: PLoS Computational Biology. 1/12/2026, Vol. 22 Issue 1, p1-23. 23p.
Database: Academic Search Ultimate
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ISSN:1553734X
DOI:10.1371/journal.pcbi.1013582