Cytokine Profiling Analysis Tool
Overview
Provides comprehensive cytokine profiling analysis through quality control using biologically meaningful cutoffs on raw cytokine measurements and by testing for distributional symmetry to recommend appropriate transformations. Offers exploratory data analysis with summary statistics, enhanced boxplots, and barplots, along with univariate and multivariate analytical capabilities for in-depth cytokine profiling such as Principal Component Analysis based on Andrzej Maćkiewicz and Waldemar Ratajczak (1993) doi:10.1016/0098-3004(93)90090-R, Sparse Partial Least Squares Discriminant Analysis based on Lê Cao K-A, Boitard S, and Besse P (2011) doi:10.1186/1471-2105-12-253, Random Forest based on Breiman, L. (2001) doi:10.1023/A:1010933404324, and Extreme Gradient Boosting based on Tianqi Chen and Carlos Guestrin (2016) doi:10.1145/2939672.2939785.
Major Changes
- New functions 'cyt_univariate' for t-test and wilcoxon rank sum test and 'cyt_univariate_multi' for ANOVA and Kruskal-Wallis test have been added to conduct univariate statistical analysis for multiple groups.
- Changed 'cyt_bp' to adapt grouping similar to 'cyt_bp2' so there is no longer a need for separate functions
- New function 'cyt_violin' for creating violin plots with statistical comparisons between groups.
- Two new helper functions to apply different types of transformations and adjust p-values.
- Added more options for scale/transformations in all functions that require it and added p-value adjustment options where needed.
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK13 OK2026-05-02
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- ERROR11 OK, 1 ERROR2026-04-25
- OK14 OK2026-03-10
Documentation
- Help pages
- 26 (1 internal)includes a package overview page
- Examples that run
- 96%22 run in a plain check · 1 hold no code
- Exported functions with examples
- 90%
- Documented parameters
- 96%
- Return-value docs
- 95%
- Help pages citing references
- 27%
Downloads
Repository
- PRs merged (all time)
- 100%
- Median days to close, 50 most recently updated closed issues
- 1
- Median days to close, 50 most recently updated closed PRs
- 3
Releases over time
Issues over time
PRs over time
10 development-tooling and community-health practices detected across 6 families in the upstream repository
Checks run against github.com/saraswatsh/cytoprofile on 2026-10-21.
The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel
GitHub Pages site last deployed 2026-02-27 · The repository has a site deploy workflow
pkgdown site last built 2026-02-27
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Dependencies
Installing CytoProfile adds 71 packages (38 with compiled code, 53 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB. 1 more not on CRAN is not measured.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 0.2.4Latest2026-02-27 · current release · diff ↗ ·
added 6 exports
adjust_p, apply_scale, cyt_export, cyt_univariate, cyt_univariate_multi, cyt_violin - 0.2.32025-12-06 · diff ↗
- 0.2.2
- 0.2.12025-05-19 · diff ↗
- 0.2.02025-04-11 · diff ↗
- RR 4.5.0 released · 2025-04-11
- 0.1.22025-04-03
- RR 4.4.0 released · 2024-04-24
Package metadata
- First published
- 2025-04-03
- Total releases
- 6 / 1 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 4.3
- Bundled data
- 40 KB / 5 files
- Download size
- 940 KB
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