Lfsc: a linear fast semi-supervised clustering algorithm that integrates reference-bulk and single-cell transcriptomes

HIGHLIGHTS

• who: . and colleagues from the University of Electronic Science and Technology of China, China have published the research: LFSC: A linear fast semi-supervised clustering algorithm that integrates reference-bulk and single-cell transcriptomes, in the Journal: (JOURNAL)
• what: Through benchmark evaluations with 21 real scRNA-seq datasets and application to infiltrating T_cells in liver cancer, the authors demonstrate that LFSC is superior to existing baseline methods.
• how: The correlation analysis of overlapping variable genes between reference transcriptomics data and unlabeled scRNA-seq data was implemented to distinguish closely related cell types. 3 . . .
  

   

  

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