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SignacX  

Cell Type Identification and Discovery from Single Cell Gene Expression Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("SignacX", "2.2.5")



Attach the package and use:
library("SignacX")
Maintained by
Mathew Chamberlain
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-03-01
Latest Update: 2021-11-18
Description:
An implementation of neural networks trained with flow-sorted gene expression data to classify cellular phenotypes in single cell RNA-sequencing data. See Chamberlain M et al. (2021) <doi:10.1101/2021.02.01.429207> for more details.
How to cite:
Mathew Chamberlain (2021). SignacX: Cell Type Identification and Discovery from Single Cell Gene Expression Data. R package version 2.2.5, https://cran.r-project.org/web/packages/SignacX. Accessed 07 Aug. 2026.
Previous versions and publish date:
(2026-07-09 08:25), 2.2.0 (2021-03-01 10:30), 2.2.1 (2021-06-17 00:30), 2.2.2 (2021-06-24 08:30), 2.2.3 (2021-07-16 08:50), 2.2.4 (2021-07-22 09:40)
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Complete documentation for SignacX
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