Sc3s: efficient scaling of single cell consensus clustering to millions of cells

HIGHLIGHTS

  • who: Fu Xiang Quah from the Sanger Institute, Hinxton , SA, UK The Gurdon Institute, University have published the Article: SC3s: efficient scaling of single cell consensus clustering to millions of cells, in the Journal: (JOURNAL)
  • what: Background: Today it is possible to profile the transcriptome of individual cells and a key step in the analysis of these datasets is unsupervised For very large datasets efficient algorithms are required to ensure that analyses can be conducted with reasonable time and memory requirements. The authors a highly efficient k-means based approach and the authors demonstrate that . . .

     

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