Nothing
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.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Ze Zhang |
| Maintainer | Ze Zhang <Ze.Zhang@utsouthwestern.edu> |
| License | GPL-2 |
| Version | 1.2.0 |
| URL | http://lce.biohpc.swmed.edu/scina/ https://github.com/jcao89757/SCINA |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the SCINA package in your browser
Any scripts or data that you put into this service are public.
