SignacX
2.2.5Cell Type Identification and Discovery from Single Cell Gene Expression Data
Overview
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.
Install
Health
- NOTE r-devel-linux-x86_64-debian-clang
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-06-0911 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0811 OK · 1 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- NOTE2026-04-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-04-0912 OK · 1 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 6%
- Documented parameters
- not tracked
- Return-value docs
- not tracked
- References docs
- 0%
Downloads
Repository
Stars over time
Repository practices
1 development-tooling and community-health practice detected across 1 family in the upstream repository
Checks run against github.com/mathewchamberlain/signacx on 2026-08-16.
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
6 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 2.2.5Latest
- unarchivedReturned to CRAN2021-11-18
- archivedRemoved from CRAN2021-11-17check problems were not corrected in time
- 2.2.42021-07-22 · diff ↗
- 2.2.32021-07-16 · diff ↗
- 2.2.22021-06-24 · diff ↗
- 2.2.12021-06-17 · diff ↗
- RR 4.1.0 released · 2021-05-18
- 2.2.02021-03-01
- RR 4.0.0 released · 2020-04-24
Package metadata
- First published
- 2021-03-01
- Total releases
- 6 / 5 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 13 KB / 1 file
- Download size
- 2.3 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("SignacX")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.