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.

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Description file content

Package
SCINA
Type
Package
Title
A Semi-Supervised Category Identification and Assignment Tool
Version
1.0.1
Date
2018-09-18
Author
Ze Zhang
Maintainer
Ze Zhang
Depends
R (>= 2.15.0), MASS, gplots
Description
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.
URL
License
GPL-2
NeedsCompilation
no
RoxygenNote
6.1.0
Packaged
2018-10-12 20:45:56 UTC; s421955
Repository
CRAN
Date/Publication
2018-10-13 08:40:19 UTC

install.packages('SCINA')

1.0.1

4 days ago

http://lce.biohpc.swmed.edu/scina/

Ze Zhang

GPL-2

Depends on

R (>= 2.15.0), MASS, gplots

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