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scAnnotatR: framework to accurately classify cell types in single-cell RNA-sequencing data.

Vy NguyenJohannes Griss
Published in: BMC bioinformatics (2022)
scAnnotatR is freely available on GitHub ( https://github.com/grisslab/scAnnotatR ) and through Bioconductor (from version 3.14). It is consistently among the best performing tools in terms of classification accuracy while scaling to the largest datasets.
Keyphrases
  • single cell
  • rna seq
  • high throughput
  • machine learning
  • deep learning
  • electronic health record
  • psychometric properties
  • stem cells