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SC3s: efficient scaling of single cell consensus clustering to millions of cells.

Fu Xiang QuahMartin Hemberg
Published in: BMC bioinformatics (2022)
We have demonstrated that our streaming k-means clustering algorithm gives state-of-the-art performance while resource requirements scale favorably for up to 2 million cells.
Keyphrases
  • single cell
  • induced apoptosis
  • cell cycle arrest
  • rna seq
  • machine learning
  • endoplasmic reticulum stress
  • high throughput
  • oxidative stress
  • cell death
  • clinical practice
  • pi k akt