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scDAC: deep adaptive clustering of single-cell transcriptomic data with coupled autoencoder and Dirichlet process mixture model.

Sijing AnJinhui ShiRunyan LiuYaowen ChenJing WangShuofeng HuXinyu XiaGuohua DongXiao-Chen BoZhen HeXiaomin Ying
Published in: Bioinformatics (Oxford, England) (2024)
The scDAC is implemented in Python. The source code is available at https://github.com/labomics/scDAC.
Keyphrases
  • single cell
  • rna seq
  • high throughput
  • electronic health record
  • big data
  • machine learning
  • artificial intelligence
  • deep learning