Cell Type Identification and Discovery from Single Cell Gene Expression Data R package SignacX version 2.2.5 CRAN Task View: Omics (https://CRAN.R-project.org/view=Omics) 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. Software Depends: R (>= 3.5.0) Imports: neuralnet, lme4, methods, Matrix, pbmcapply, Seurat(>= 3.2.0), RJSONIO, igraph (>= 1.2.1), jsonlite (>= 1.5), RColorBrewer (>= 1.1.2), stats Suggests: hdf5r, rhdf5, knitr, rmarkdown, formatR Mathew Chamberlain <chamberlainphd@gmail.com> Comprehensive R Archive Network (CRAN) Mathew Chamberlain [aut, cre], Virginia Savova [aut], Richa Hanamsagar [aut], Frank Nestle [aut], Emanuele de Rinaldis [aut], Sanofi US [fnd] GPL-3 2021-11-18 application/tgz https://CRAN.R-project.org/package=SignacX doi:10.32614/CRAN.package.SignacX