A machine learning–based tool for predicting transcription factor–target gene interactions in soybean

Authors

Qingxin Song (ORCID: https://orcid.org/0000-0001-7081-3339)
Xueai Zhu (ORCID: https://orcid.org/0000-0002-5496-3203)
Ji Huang (ORCID: https://orcid.org/0000-0002-9057-4299)
Yang Long (ORCID: https://orcid.org/0000-0002-2445-6112)
Hongsheng Zhang (ORCID: https://orcid.org/0000-0002-2022-1826)
Fang Huang (ORCID: https://orcid.org/0000-0002-8333-5847)
Baoyi Zhang (ORCID: https://orcid.org/0000-0002-1442-6091)
Junxian Huang (ORCID: https://orcid.org/0009-0009-7206-6459)

Institutions

Nanjing Agricultural University (CN)
Yunnan University (CN)
Nanjing University of Industry Technology (CN)
Jiangsu Province Science and Technology Department (CN)

Publication Details

Journal: PLANT PHYSIOLOGY
Published: 2025-08-01
DOI: https://doi.org/10.1093/plphys/kiaf318
Primary Topic: Insect Resistance and Genetics
Type: article
Field-Weighted Citation Impact: 0.00

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article

A machine learning–based tool for predicting transcription factor–target gene interactions in soybean

Qingxin Song, Xueai Zhu, Ji Huang, Yang Long et al.

Aug 1, 2025

PLANT PHYSIOLOGY

Insect Resistance and Genetics

article

A machine learning–based tool for predicting transcription factor–target gene interactions in soybean

Qingxin Song, Xueai Zhu, Ji Huang, Yang Long, Hongsheng Zhang, Fang Huang, Baoyi Zhang, Junxian Huang

August 1, 2025article en

Abstract

No abstract available for this paper.

PLANT PHYSIOLOGYVol. 198(4)

Nanjing Agricultural University (CN), Yunnan University (CN), Nanjing University of Industry Technology (CN), Jiangsu Province Science and Technology Department (CN)

Zero hunger

Openalex Percentile: Top 82%

Insect Resistance and Genetics

DOI Source OpenAlex

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