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使用高通量测序,网络分析和机器学习算法识别小麦 (Triticum Aestivum L.) 中与叶子生相关的基因特征

Muhammad Farhan1, Muhammad Ikram2, Jing-E Sun1

  • 1College of Agriculture, Guizhou University, Guiyang, 550025, China.

Rice (New York, N.Y.)
|August 23, 2025
PubMed
概括

No abstract available in PubMed .

关键词:
对疾病有反应的基因叶子生机器学习超级DEGs的使用在RNA-seq小麦

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