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SCINA  

A Semi-Supervised Category Identification and Assignment Tool
View on CRAN: Click here


Download and install SCINA package within the R console
Install from CRAN:
install.packages("SCINA")

Install from Github:
library("remotes")
install_github("cran/SCINA")

Install by package version:
library("remotes")
install_version("SCINA", "1.2.0")



Attach the package and use:
library("SCINA")
Maintained by
Ze Zhang
[Scholar Profile | Author Map]
First Published: 2018-10-08
Latest Update: 2019-07-18
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. See Zhang Z, et al (2019) for more details.
How to cite:
Ze Zhang (2018). SCINA: A Semi-Supervised Category Identification and Assignment Tool. R package version 1.2.0, https://cran.r-project.org/web/packages/SCINA. Accessed 07 Apr. 2025.
Previous versions and publish date:
1.0.0 (2018-10-08 13:00), 1.0.1 (2018-10-13 10:40), 1.1.0 (2019-04-29 21:40)
Other packages that cited SCINA R package
View SCINA citation profile
Other R packages that SCINA depends, imports, suggests or enhances
Complete documentation for SCINA
Functions, R codes and Examples using the SCINA R package
Some associated functions: SCINA . plotheat.SCINA . preprocess.signatures . 
Some associated R codes: EM_functions.R . EM_model.R .  Full SCINA package functions and examples
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