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 <>
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the SignacX package in your browser

Any scripts or data that you put into this service are public.

SignacX documentation built on Nov. 18, 2021, 5:07 p.m.