Selecting representative samples from complex biological datasets using k-medoids clustering

HIGHLIGHTS

• who: METHODS and colleagues from the University of Chicago Department of Medicine, Section of Rheumatology, University of Chicago, Chicago, IL, United States have published the paper: Selecting Representative Samples From Complex Biological Datasets Using K-Medoids Clustering, in the Journal: (JOURNAL) of August/29,/2019
• how: On real single-cell B cell dataset showed that Cookie toolkit is effective and efficient in selecting candidate antibodies for further experimental characterization from massive single-cell population. The authors performed ten independent runs of stratified sampling on the single-cell dataset and the results showed that the coverage . . .
  

   

  

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