一种结构化的代分裂方法,用于非散回归模型和生物数据分析中的应用

Shun Yu1, Yuehan Yang1

  • 1School of Statistics and Mathematics, Central University of Finance and Economics, Beijing, China.

概括

这项研究引入了结构化代划分,这是一种用于非分散数据估计的新方法,特别是在生物学中. 它有效地识别相关特征,减少错误并改善癌症和阿尔茨海默氏症等疾病的预测.

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