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.
Statements
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.
Summary
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
Volume
13 - 2022
Updates
Copyright
© 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, dongly@jlu.edu.cn
This article was submitted to Computational Genomics, a section of the journal Frontiers in Genetics
Disclaimer
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.