Package: SignacX
Version: 2.2.5
Date: 2021-11-17
Title: Cell Type Identification and Discovery from Single Cell Gene
        Expression Data
Authors@R: c(
  person(given = "Mathew", family = "Chamberlain", email = "chamberlainphd@gmail.com", role = c( "aut","cre")),
  person(given = "Virginia", family = "Savova", email = "virginia.savova@sanofi.com", role = c( "aut")),
  person(given = "Richa", family = "Hanamsagar", email = "richa.hanamsagar@sanofi.com", role = c( "aut")),
  person(given = "Frank", family = "Nestle", email = "frank.nestle@sanofi.com", role = c( "aut")),
  person(given = "Emanuele", family = "de Rinaldis", email = "Emanuele.deRinaldis@sanofi.com", role = c( "aut")),
  person("Sanofi US", role = "fnd"))
Maintainer: Mathew Chamberlain <chamberlainphd@gmail.com>
URL: https://github.com/mathewchamberlain/SignacX
BugReports: https://github.com/mathewchamberlain/SignacX/issues
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
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.
Depends: R (>= 3.5.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-11-18 02:53:21 UTC; ubuntu
Author: Mathew Chamberlain [aut, cre],
  Virginia Savova [aut],
  Richa Hanamsagar [aut],
  Frank Nestle [aut],
  Emanuele de Rinaldis [aut],
  Sanofi US [fnd]
Repository: CRAN
Date/Publication: 2021-11-18 16:20:03 UTC
Built: R 4.6.0; ; 2026-04-30 16:45:16 UTC; unix
