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College of Information Science And Engineering
学者数28
论文数11
被引数0
关联论文 (10)
发表时间
Identifying drought-responsive candidate genes in root and shoot tissues of wheat (Triticum aestivum L.) through RNA sequencing, cluster analysis, weighted gene co-expression network analysis, and machine learning models通过RNA测序、聚类分析、加权基因共表达网络分析和机器学习模型鉴定小麦(Triticum aestivum L.)根和 shoot 组织中响应干旱的候选基因

