SignacX: Cell Type Identification and Discovery from Single Cell Gene Expression Data

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.

Package details

AuthorMathew Chamberlain [aut, cre], Virginia Savova [aut], Richa Hanamsagar [aut], Frank Nestle [aut], Emanuele de Rinaldis [aut], Sanofi US [fnd]
MaintainerMathew Chamberlain <chamberlainphd@gmail.com>
LicenseGPL-3
Version2.2.4
URL https://github.com/mathewchamberlain/SignacX
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("SignacX")

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SignacX documentation built on July 22, 2021, 9:10 a.m.