在未测量的混因子下进行因果差异表达分析,并与因果序列混

Jin-Hong Du1,2, Maya Shen1, Hansruedi Mathys3

  • 1Department of Statistics and Data Science, Carnegie Mellon University.

概括

一个新的因果推断框架Causarray准确地识别了基因组数据中的治疗效应,即使有未测量的混因素. 这种工具有助于理解复杂的疾病,如自闭症和阿尔茨海默氏症通过揭示基因功能至关重要的神经元发育.

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