Crop Design2025，Vol.4Issue(1)：P.97-106,10.DOI:10.1016/j.cropd.2024.100085
Predicting cold-stress responsive genes in cotton with machine learning models
Mengke Zhang 1Yayuan Deng 1Wanghong Shi 1Luyao Wang 2Na Zhou 3Heng Wang 4Zhiyuan Zhang 2Xueying Guan 1Ting Zhao1
作者信息
- 1. Hainan Institute of Zhejiang University,Building 11,Yonyou Industrial Park,Yazhou Bay Science and Technology City,Yazhou District,Sanya,Hainan,572025,China Zhejiang Provincial Key Laboratory of Crop Genetic Resources,Institute of Crop Science,Plant Precision Breeding Academy,College of Agriculture and Biotechnology,Zhejiang University,Hangzhou,300058,China
- 2. Zhejiang Provincial Key Laboratory of Crop Genetic Resources,Institute of Crop Science,Plant Precision Breeding Academy,College of Agriculture and Biotechnology,Zhejiang University,Hangzhou,300058,China
- 3. Dryland Farming Institute,Hebei Academy of Agricultural and Forestry Sciences,Hebei Key Laboratory of Crops Drought Resistance,Hengshui,053000,China
- 4. Hainan Institute of Zhejiang University,Building 11,Yonyou Industrial Park,Yazhou Bay Science and Technology City,Yazhou District,Sanya,Hainan,572025,China
- 折叠
摘要
关键词
Cotton/Cold stress/Cold-responsive genes/Machine learning分类
农业科技引用本文复制引用
Mengke Zhang,Yayuan Deng,Wanghong Shi,Luyao Wang,Na Zhou,Heng Wang,Zhiyuan Zhang,Xueying Guan,Ting Zhao..Predicting cold-stress responsive genes in cotton with machine learning models[J].Crop Design,2025,4(1):P.97-106,10.基金项目
supported in part by Bureau of Science Technology Industry and Information Technology of Sanya(2022KJCX88) （2022KJCX88）
Research Startup Funding from Hainan Institute of Zhejiang University(0202–6602-A12201,0202-6602-A12202) （0202–6602-A12201,0202-6602-A12202）
Young Scientific and Technological Talent Domestic Training Program Funded of Hebei Academy of Agriculture and Forestry Sciences. （）
