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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 |
| 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.
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