Bin Yang
Wenzheng Bao
Shichai Hong3*
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- 1School of Information Science and Engineering, Zaozhuang University, Zaozhuang, China
- 2School of Information and Electrical Engineering, Xuzhou University of Technology, Xuzhou, China
- 3Department of Vascular Surgery, Zhongshan Hospital (Xiamen), Fudan University, Xiamen, China
A corrigendum on
Alzheimer-compound identification based on data fusion and forgeNet_SVM
by Yang, B., Bao, W., and Hong, S. (2022). Front. Aging Neurosci. 14:931729. doi: 10.3389/fnagi.2022.931729
In the published article, there was an error in affiliation 3. Instead of “[Department of Vascular Surgery, Zhongshan Hospital, Fudan University, Xiamen, China”, it should be “Department of Vascular Surgery, Zhongshan Hospital (Xiamen), Fudan University, Xiamen, China”.
The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
Keywords: virtual screening, network pharmacology, Alzheimer, data fusion, feature selection, machine learning
Citation: Yang B, Bao W and Hong S (2023) Corrigendum: Alzheimer-compound identification based on data fusion and forgeNet_SVM. Front. Aging Neurosci. 15:1322944. doi: 10.3389/fnagi.2023.1322944
Received: 17 October 2023; Accepted: 02 November 2023;
Published: 17 November 2023.
Approved by:
Frontiers Editorial Office, Frontiers Media SA, SwitzerlandCopyright © 2023 Yang, Bao and Hong. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Wenzheng Bao, YmFvd3o1NTU1NUAxMjYuY29t; Shichai Hong, eG16c2hzY0AxNjMuY29t