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Updated: Jul 1, 2025

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高维的通用中位适应拉索与应用到omics数据.

Yahang Liu1, Qian Gao2,3, Kecheng Wei1

  • 1Department of Biostatistics, School of Public Health, Fudan University, Shanghai, China.

Briefings in bioinformatics
|March 4, 2024
PubMed
概括

通用中位适应拉索 (GMAL) 方法准确地选择变量并估计因果关系,即使结果数据偏差. 这种方法对高维数据集的现有方法进行了改进,特别是在现实世界的应用中.

关键词:
有关因果推理的推理.观察性研究是指观察性研究.倾向性得分是指倾向性得分.选择变量的选择变量.

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