SCINA: 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.

Version: 1.1.0
Depends: R (≥ 2.15.0), MASS, gplots
Published: 2019-04-29
Author: Ze Zhang
Maintainer: Ze Zhang <Ze.Zhang at utsouthwestern.edu>
License: GPL-2
URL: http://lce.biohpc.swmed.edu/scina/ https://github.com/jcao89757/SCINA
NeedsCompilation: no
Materials: NEWS
CRAN checks: SCINA results

Downloads:

Reference manual: SCINA.pdf
Package source: SCINA_1.1.0.tar.gz
Windows binaries: r-devel: SCINA_1.1.0.zip, r-release: SCINA_1.1.0.zip, r-oldrel: SCINA_1.1.0.zip
OS X binaries: r-release: SCINA_1.1.0.tgz, r-oldrel: SCINA_1.1.0.tgz
Old sources: SCINA archive

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