Package: SignacX Version: 2.2.0 Date: 2021-02-24 Title: Cell Type Identification and Discovery from Single Cell Gene Expression Data Authors@R: c( person(given = "Mathew", family = "Chamberlain", email = "mathew.chamberlain@sanofi.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 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) for more details. Depends: R (>= 3.5.0) License: GPL-3 Encoding: UTF-8 LazyData: true RoxygenNote: 7.1.0 VignetteBuilder: knitr NeedsCompilation: no Packaged: 2026-07-03 22:56:18 UTC; root Author: Mathew Chamberlain [aut, cre], Virginia Savova [aut], Richa Hanamsagar [aut], Frank Nestle [aut], Emanuele de Rinaldis [aut], Sanofi US [fnd] Config/pak/sysreqs: cmake libglpk-dev make libicu-dev libpng-dev libuv1-dev libxml2-dev libssl-dev python3 zlib1g-dev Repository: https://mathewchamberlain.r-universe.dev Date/Publication: 2023-02-28 08:17:32 UTC RemoteUrl: https://github.com/mathewchamberlain/signacx RemoteRef: HEAD RemoteSha: 11e872c292bc5134a41a86f298dbcd4e75c1a7ac