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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.2.5 |
rolling linux/jammy R-4.5 | SignacX_2.2.5.tar.gz |
876.9 KiB |
2.2.5 |
rolling linux/noble R-4.5 | SignacX_2.2.5.tar.gz |
877.0 KiB |
2.2.5 |
rolling source/ R- | SignacX_2.2.5.tar.gz |
2.3 MiB |
2.2.5 |
latest linux/jammy R-4.5 | SignacX_2.2.5.tar.gz |
876.9 KiB |
2.2.5 |
latest linux/noble R-4.5 | SignacX_2.2.5.tar.gz |
877.0 KiB |
2.2.5 |
latest source/ R- | SignacX_2.2.5.tar.gz |
2.3 MiB |
2.2.5 |
2026-04-26 source/ R- | SignacX_2.2.5.tar.gz |
2.3 MiB |
2.2.5 |
2026-04-23 source/ R- | SignacX_2.2.5.tar.gz |
2.3 MiB |
2.2.5 |
2026-04-09 windows/windows R-4.5 | SignacX_2.2.5.zip |
889.0 KiB |
2.2.5 |
2025-04-20 source/ R- | SignacX_2.2.5.tar.gz |
2.3 MiB |