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.



  • Experimental version

Reference manual

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1.2.0 by Ze Zhang, 3 years 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