Integrating pan-genome analysis, GWAS, and interpretable machine learning to prioritize trait-associated structural variations in Setaria italica
整合泛基因组分析、全基因组关联分析和可解释的机器学习方法,以确定谷子中与性状相关的结构变异的优先级。
期刊:Plant Communications
影响因子:11.6
doi:10.1016/j.xplc.2025.101626
Wang, Wenying; Wu, Tianhao; Fan, Guangyu; Zhang, Shuai; Liu, Songyu; Jiang, Shuqin; Cheng, Qian; Shang, Meiqi; Xu, Yanfen; Zhang, Wenlin; Zhang, Jianan; Wang, Xiangfeng; Zhao, Zhihai; Yan, Jun