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DrivAER
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DrivAER

DrivAER is a tool to identify and score pathways and transcriptions factors of user-specified outcomes in single-cell RNA-seq (scRNA-seq) data. The DrivAER algorithm uses a machine learning approach.



DrivAER

DrivAER is a tool to identify and score pathways and transcriptions factors of user-specified outcomes in single-cell RNA-seq (scRNA-seq) data. The DrivAER algorithm uses a machine learning approach.

Topic

RNA-seq; Molecular interactions, pathways and networks

Details

  • Operation: RNA-Seq analysis; Expression profile pathway mapping
  • Software interface: Command-line user interface
  • Language: Python
  • Operating system: Linux; Mac OS X
  • License: The MIT licence
    • Cost: Free
  • Version name: -
  • Credit: The National Institutes of Health, Cancer Prevention and Research Institute of Texas, The Chair Professorship for Precision Medicine Funds from the University of Texas Health Science Center at Houston.
  • Contact: ukas.simon _at_ uth.tmc.edu | zhongming.zhao _at_ uth.tmc.edu
  • Collection: -

Publications

Lukas M. Simon, Fangfang Yan, Zhongming Zhao "DrivAER: Identification of driving transcriptional programs in single-cell RNA sequencing data" bioRxiv https://doi.org/10.1101/864165


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