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CTISL: a dynamic stacking multi-class classification approach for identifying cell types from single-cell RNA-seq data.

Xiao WangZiyi ChaiShaohua LiYan LiuChen LiYu JiangQuanzhong Liu
Published in: Bioinformatics (Oxford, England) (2024)
The webserver and source code are freely available at http://bigdata.biocie.cn/CTISLweb/home and https://zenodo.org/records/10568906, respectively.
Keyphrases
  • single cell
  • rna seq
  • high throughput
  • machine learning
  • deep learning
  • healthcare
  • electronic health record
  • big data
  • lymph node metastasis
  • stem cells
  • mesenchymal stem cells
  • artificial intelligence