Bei Zhu
Yi Xu
Pengcheng Zhao
Siu-Ming Yiu
Hui Yu
Jian-Yu Shi
94% of researchers rate our articles as excellent or good
Learn more about the work of our research integrity team to safeguard the quality of each article we publish.
Find out more
- 1School of Life Sciences, Northwestern Polytechnical University, Xi'an, China
- 2Department of Computer Science, The University of Hong Kong, Hong Kong, China
- 3School of Computer Science, Northwestern Polytechnical University, Xi'an, China
A Corrigendum on
NNAN: Nearest Neighbor Attention Network to Predict Drug–Microbe Associations
by Zhu, B., Xu, Y., Zhao, P., Yiu, S.-M., Yu, H., and Shi, J.-Y. (2022). Front. Microbiol. 13:846915. doi: 10.3389/fmicb.2022.846915
In the original article, there was an error in “affiliation 1” as published. Instead of “School of Life Sciences, Northwestern Polytechnic University, Xi'an, China,” it should be “School of Life Sciences, Northwestern Polytechnical University, Xi'an, China.”
In the original article, there was an error in “affiliation 3” as published. Instead of “School of Computer Science, Northwestern Polytechnic University, Xi'an, China,” it should be “School of Computer Science, Northwestern Polytechnical University, Xi'an, 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.
Publisher's Note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Keywords: deep learning, bipartite graph network, link prediction, drug-microbe association, attention matrix
Citation: Zhu B, Xu Y, Zhao P, Yiu S-M, Yu H and Shi J-Y (2022) Corrigendum: NNAN: Nearest Neighbor Attention Network to Predict Drug–Microbe Associations. Front. Microbiol. 13:944952. doi: 10.3389/fmicb.2022.944952
Received: 16 May 2022; Accepted: 17 May 2022;
Published: 30 May 2022.
Approved by: Frontiers Editorial Office, Frontiers Media SA, Switzerland
Copyright © 2022 Zhu, Xu, Zhao, Yiu, Yu and Shi. 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: Hui Yu, aHVpeXVAbndwdS5lZHUuY24=; Jian-Yu Shi, amlhbnl1c2hpQG53cHUuZWR1LmNu
†These authors have contributed equally to this work and share first authorship