:

Qingren Meng1, Qian Zhou2, Shuo Shi3

  • 1CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China; School of Medicine, Southern University of Science and Technology, Shenzhen 518055, China; National Clinical Research Center for Infectious Diseases, The Third People's Hospital of Shenzhen, The Second Affiliated Hospital of Southern University of Science and Technology, Shenzhen 518100, China.

Science bulletin
|November 2, 2023
PubMed
概括

在元基因组学中,因果推理由于混因素而具有挑战性. 虚拟双胞胎 (VTwins) 方法模仿双胞胎研究以匹配样本,有效消除混因素,并改善高维欧米数据中的因果关系检测.