A Semi-Supervised Category Identification and Assignment Tool

An automatic cell type detection and assignment algorithm for single cell RNA-Seq and Cytof/FACS data. 'SCINA' is capable of assigning cell type identities to a pool of cells profiled by scRNA-Seq or Cytof/FACS data with prior knowledge of markers, such as genes and protein symbols that are highly or lowly expressed in each category. See Zhang Z, et al (2019) for more details.


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1.0.0

  • Experimental version

Reference manual

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install.packages("SCINA")

1.2.0 by Ze Zhang, 2 months ago


http://lce.biohpc.swmed.edu/scina/ https://github.com/jcao89757/SCINA


Browse source code at https://github.com/cran/SCINA


Authors: Ze Zhang


Documentation:   PDF Manual  


GPL-2 license


Depends on MASS, gplots


See at CRAN