Evaluation of classification in single cell atac-seq data with machine learning methods

HIGHLIGHTS

• who: Hongzhe Guo from the Faculty of Computing, Harbin Harbin, China have published the research work: Evaluation of classification in single cell atac-seq data with machine learning methods, in the Journal: (JOURNAL)
• what: The authors evaluated the classification performance of 6 well-known machine learning methods on scATAC-seq A total of 4 public scATAC-seq datasets vary in tissues sizes and technologies were applied to the evaluation of the performance of the methods. Based on the 4 scATAC-seq datasets above, the authors evaluate the classification performance of these 6 methods through two . . .
  

   

  

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