在单细胞RNA-seq数据中识别基因表达程序,使用线性相关性解释解释

Yulia I Nussbaum1, K S M Tozammel Hossain2, Jussuf Kaifi3

  • 1Institute for Data Science and Informatics, University of Missouri, Columbia, MO 65201, USA.

概括

本研究引入了线性CoreEx,这是一种机器学习方法,可以从单细胞RNA测序数据中识别与细胞类型和生物活动相关的基因表达程序 (GEP),从而改善基因调节的洞察力.

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