Front. Genet. Frontiers in Genetics Front. Genet. 1664-8021 Frontiers Media S.A. 1062928 10.3389/fgene.2022.1062928 Genetics Correction Corrigendum: Research on the mechanism of soybean resistance to Phytophthora infection using machine learning Methods Chi et al. 10.3389/fgene.2022.1062928 Chi Junxia 1 2 Song Shizeng 2 3 Zhang Hao 1 2 3 Liu Yuanning 1 2 3 Zhao Hengyi 2 3 Dong Liyan 1 2 3 * 1 College of Software, Jilin University, Changchun, China 2 Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, China 3 College of Computer Science and Technology, Jilin University, Changchun, China

Approved by: Frontiers Editorial Office

*Correspondence: Liyan Dong, dongly@jlu.edu.cn

This article was submitted to Computational Genomics, a section of the journal Frontiers in Genetics

 24 10 2022 2022 13 1062928 06 10 2022 10 10 2022 Copyright © 2022 Chi, Song, Zhang, Liu, Zhao and Dong. 2022 Chi, Song, Zhang, Liu, Zhao and Dong

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 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 sRNA data analysis differential expression machine learning resistance mechanism Phytophthora sojae

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.

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