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ASURAT: functional annotation-driven unsupervised clustering of single-cell transcriptomes.

Keita IidaJumpei KondoJohannes Nicolaus WibisanaMasahiro InoueMariko Okada
Published in: Bioinformatics (Oxford, England) (2022)
Supplementary data are available at Bioinformatics online.
Keyphrases
  • single cell
  • rna seq
  • machine learning
  • high throughput
  • electronic health record
  • social media
  • big data
  • health information