Swiftreg cluster registration automatically reduces flow cytometry data variability including batch effects

HIGHLIGHTS

• who: Jonathan A. Rebhahn from the University of have published the article: SwiftReg cluster registration automatically reduces flow cytometry data variability including batch effects, in the Journal: (JOURNAL) of 10/04/2020
• what: This approach has several advantages- first cells are assigned to clusters using information from all channels so even large shifts in one channel can be correctly identified and corrected because of the information in other channels. The overall goal of ICR is to align test sample cluster independently to the corresponding cluster in the reference template. The authors provide sufficient instruction to . . .
  

   

  

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