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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 |
DOI: | 10.32614/CRAN.package.SCINA |
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 |
Reference manual: | SCINA.pdf |
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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.