Skip to content

Deep Embedded Single-cell RNA-seq Clustering implementation with pytorch

License

Notifications You must be signed in to change notification settings

UnkownNames/DESCtorch

 
 

Repository files navigation

DESCtorch

Deep Embedded Single-cell RNA-seq Clustering implementation with pytorch, you can find implementation of tensorflow version of DESC in https://github.com/eleozzr/desc. We will try more complicated network structure and loss function base on DESCtorch in the future!!! I try my best to reproduce result of this paper in https://github.com/yuxiaokang-source/DESC_reproduce.

Installtion

conda create -n DESCtorch python=3.6.10
conda activate DESCtorch
pip install DESCtorch

run paul15_tutorial.ipynb for more detail

Reference

Li, X., Wang, K., Lyu, Y., Pan, H., Zhang, J., Stambolian, D., ... & Li, M. (2020). Deep learning enables accurate clustering with batch effect removal in single-cell RNA-seq analysis. Nature communications, 11(1), 1-14.

About

Deep Embedded Single-cell RNA-seq Clustering implementation with pytorch

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 98.7%
  • Python 1.3%