Hi4GS: An interpretable hybrid feature selection framework for genomic selection and application in identifying wheat yield-associated SNPs

Shanghui Zhang, Mei Song, Jun Zheng, Xianggeng Huang, Xinping Zhang, Ran Qin, Chunhua Zhao, Yongzhen Wu, Han Sun, Guangchen Liu, Feng Chen, Shusong Zheng, Fa Cui

PDF(20488 KB)
The Crop Journal ›› 2026, Vol. 14 ›› Issue (4) : 1374-1387. DOI: 10.1016/j.cj.2026.02.022
Research Papers

Hi4GS: An interpretable hybrid feature selection framework for genomic selection and application in identifying wheat yield-associated SNPs

    {{javascript:window.custom_author_en_index=0;}}
  • {{article.zuoZhe_EN}}
Author information +
History +

HeighLight

{{article.keyPoints_en}}

Abstract

{{article.zhaiyao_en}}

Key words

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations
{{article.zuoZheEn_L}}. {{article.title_en}}. {{journal.qiKanMingCheng_EN}}. 2026, 14(4): 1374-1387 https://doi.org/10.1016/j.cj.2026.02.022

References

Publishing order | Descend order by publishing year | Descend order by cited within

References

{{article.reference}}

Funding

RIGHTS & PERMISSIONS

{{article.copyrightStatement_en}}
{{article.copyrightLicense_en}}
PDF(20488 KB)

Accesses

Citation

Detail
Sections
Recommended
ISSN (Print) 2095-5421 ISSN (Online) 2214-5441 CN 10-1112/S Copyright © 2022 The Crop Journal

/

〈 〉