Corrigendum: Research on the mechanism of soybean resistance to Phytophthora infection using machine learning Methods

Front Genet. 2022 Oct 24:13:1062928. doi: 10.3389/fgene.2022.1062928. eCollection 2022.

Authors

Junxia Chi^{1

2}, Shizeng Song^{2

3}, Hao Zhang^{1

2

3}, Yuanning Liu^{1

2

3}, Hengyi Zhao^{2

3}, Liyan Dong^{1

2

3}

Affiliations

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.

Abstract

[This corrects the article DOI: 10.3389/fgene.2021.634635.].

Keywords: Phytophthora sojae; differential expression; machine learning; resistance mechanism; sRNA data analysis.

Copyright © 2022 Chi, Song, Zhang, Liu, Zhao and Dong.

Publication types

Published Erratum