For better experience, turn on JavaScript!


desc

desc

desc (deep embedding algorithm for single-cell clustering) is a tool to cluster single-cell RNA_seq (scRNA-seq) data. The desc algorithm uses deep neural network learning.

Topic

Sequencing; RNA-seq

Details

  • Operation: Sequence clustering
  • Software interface: Command-line user interface
  • Language: Python
  • Operating system: Linux
  • License: The MIT licence
  • Cost: Free
  • Version name: 1.0.0.5 (alpha)
  • Credit: -
  • Contact: Xiangjie Li ele717 _at_ 163.com | Gang Hu huggs _at_ nankai.edu.cn | Mingyao Li mingyao _at_ pennmedicine.upenn.edu | Yafei Lyu lyuyafei _at_ gmail.com
  • Collection: -

Publications

Xiangjie Li, Yafei Lyu, Jihwan Park, Jingxiao Zhang, Dwight Stambolian, Katalin Susztak, Gang Hu, Mingyao Li "Deep learning enables accurate clustering and batch effect removal in single-cell RNA-seq analysis" bioRxiv https://doi.org/10.1101/530378


Download and documentation








If you find errors, please report here.