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Omada: robust clustering of transcriptomes through multiple testing.

Sokratis KariotisPei Fang TanHaiping LuChristopher J RhodesMartin R WilkinsAllan LawrieDennis Wang
Published in: GigaScience (2024)
In conclusion, Omada successfully automates the robust unsupervised clustering of transcriptomic data, making advanced analysis accessible and reliable even for those without extensive machine learning expertise. Implementation of Omada is available at http://bioconductor.org/packages/omada/.
Keyphrases
  • single cell
  • machine learning
  • rna seq
  • big data
  • primary care
  • healthcare
  • artificial intelligence
  • electronic health record
  • quality improvement