Junxia Chi
Shizeng Song2,3
Hao Zhang
Yuanning Liu
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- 1College of Software, Jilin University, Changchun, China
- 2Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, China
- 3College of Computer Science and Technology, Jilin University, Changchun, China
A Corrigendum on
Research on the mechanism of soybean resistance to Phytophthora infection using machine learning Methods
by Chi J, Song S, Zhang H, Liu Y, Zhao H and Dong L (2021). Front. Genet. 12:634635. doi: 10.3389/fgene.2021.634635
In the published article, the affiliation of “College of Software, Jilin University, Changchun, China” was erroneously omitted and the authors’ affiliations had incorrect attributions as a result.
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: sRNA data analysis, differential expression, machine learning, resistance mechanism, Phytophthora sojae
Citation: Chi J, Song S, Zhang H, Liu Y, Zhao H and Dong L (2022) Corrigendum: Research on the mechanism of soybean resistance to Phytophthora infection using machine learning Methods. Front. Genet. 13:1062928. doi: 10.3389/fgene.2022.1062928
Received: 06 October 2022; Accepted: 10 October 2022;
Published: 24 October 2022.
Approved by:
Frontiers Editorial OfficeCopyright © 2022 Chi, Song, Zhang, Liu, Zhao and Dong. 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: Liyan Dong, ZG9uZ2x5QGpsdS5lZHUuY24=