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堆AHTPs:基于异质特征和堆叠学习方法的可解释的抗高血压标识符

Ali Ghulam1, Muhammad Arif2, Ahsanullah Unar3

  • 1Information Technology Centre, Sindh Agriculture University, Tandojam, Sindh, Pakistan.

IET systems biology
|February 5, 2025
PubMed
概括

一个新的机器学习模型,StackAHTP,从序列中准确预测抗高血压 (AHTP). 这种计算方法加速了用于管理高血压的天然化合物的发现.

关键词:
生物信息学是一种生物信息学.生物计算计算 生物计算功能提取 特性提取蛋白质是一种蛋白质.

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