FDRomics

Zhibo Chen1, Zi-Tong Lu1, Xue-Ting Song1

  • 1School of Statistics and Mathematics, Zhongnan University of Economics and Law, Wuhan, Hubei, People's Republic of China.

PloS one
|August 22, 2025
PubMed
概括

这项研究引入了一种新的特征选择方法,用于全欧米学协会分析. 它准确地识别复杂的高维数据集中的风险特征,同时控制错误发现率 (FDR).