iCellR
1.7.0Analyzing High-Throughput Single Cell Sequencing Data
Overview
A toolkit that allows scientists to work with data from single cell sequencing technologies such as scRNA-seq, scVDJ-seq, scATAC-seq, CITE-Seq and Spatial Transcriptomics (ST). Single (i) Cell R package ('iCellR') provides unprecedented flexibility at every step of the analysis pipeline, including normalization, clustering, dimensionality reduction, imputation, visualization, and so on. Users can design both unsupervised and supervised models to best suit their research. In addition, the toolkit provides 2D and 3D interactive visualizations, differential expression analysis, filters based on cells, genes and clusters, data merging, normalizing for dropouts, data imputation methods, correcting for batch differences, pathway analysis, tools to find marker genes for clusters and conditions, predict cell types and pseudotime analysis. See Khodadadi-Jamayran, et al (2020) doi:10.1101/2020.05.05.078550 and Khodadadi-Jamayran, et al (2020) doi:10.1101/2020.03.31.019109 for more details.
Install
Health
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-04-2214 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-04-1813 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
Show 3 earlier snapshots
- OK2026-04-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-04-0913 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 97%
- References docs
- 1%
Downloads
Repository
Stars over time
Forks over time
Releases over time
Issues over time
PRs over time
Repository practices
Checks run against github.com/rezakj/icellr on 2026-07-31.
No development-tooling practices detected in the upstream repository.
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
25 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 1.7.0Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 1.6.72024-01-29 · diff ↗
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 1.6.52021-10-09 · diff ↗
- RR 4.1.0 released · 2021-05-18
- 1.6.42021-04-27 · diff ↗
- 1.6.12021-03-04 · diff ↗
- 1.6.02021-01-30 · diff ↗
- 1.5.92021-01-21 · diff ↗
- 1.5.82020-10-09 · diff ↗
- 1.5.52020-07-16 · diff ↗
- 1.5.42020-07-03 · diff ↗
Show 17 earlier events
- 1.5.12020-06-17 · diff ↗
- 1.5.02020-05-08 · diff ↗
- RR 4.0.0 released · 2020-04-24
- 1.4.52020-04-10 · diff ↗
- 1.4.02020-04-03 · diff ↗
- 1.3.32020-03-14 · diff ↗
- 1.3.12020-02-26 · diff ↗
- 1.3.02020-01-24 · diff ↗
- 1.2.92020-01-17 · diff ↗
- 1.2.72019-12-04 · diff ↗
- 1.2.52019-11-04 · diff ↗
- 1.2.22019-10-22 · diff ↗
- 1.2.02019-10-15 · diff ↗
- 1.1.42019-09-26 · diff ↗
- 1.1.22019-09-10 · diff ↗
- 1.0.02019-08-02
- RR 3.6.0 released · 2019-04-26
Package metadata
- First published
- 2019-08-02
- Total releases
- 25 / 7 yrs
- License
- GPL-2 OSI
- Minimum R
- ≥ 3.3.0
- Bundled data
- 0.6 KB / 2 files
- Download size
- 221 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet