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. See Zhang Z, et al (2019) <doi:10.3390/genes10070531> for more details.

Version:	1.2.0
Depends:	R (≥ 2.15.0), MASS, gplots
Published:	2019-07-18
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

Documentation:

Reference manual:

SCINA.pdf

Downloads:

Package source:	SCINA_1.2.0.tar.gz
Windows binaries:	r-devel: SCINA_1.2.0.zip, r-release: SCINA_1.2.0.zip, r-oldrel: SCINA_1.2.0.zip
macOS binaries:	r-release (arm64): SCINA_1.2.0.tgz, r-oldrel (arm64): SCINA_1.2.0.tgz, r-release (x86_64): SCINA_1.2.0.tgz, r-oldrel (x86_64): SCINA_1.2.0.tgz
Old sources:	SCINA archive

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