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.
Version: 2.2.5 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 Published: 2021-11-18 DOI: 10.32614/CRAN.package.SignacX Author: Mathew Chamberlain [aut, cre], Virginia Savova [aut], Richa Hanamsagar [aut], Frank Nestle [aut], Emanuele de Rinaldis [aut], Sanofi US [fnd] Maintainer: Mathew Chamberlain <chamberlainphd at gmail.com> BugReports: https://github.com/mathewchamberlain/SignacX/issues License: GPL-3 URL: https://github.com/mathewchamberlain/SignacX NeedsCompilation: no Citation: SignacX citation info Materials: README NEWS In views: Omics CRAN checks: SignacX resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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