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Citrus is a computational technique developed for the analysis of high dimensional cytometry data sets. This package extracts, statistically analyzes, and visualizes marker expression from 'citrus' data. This code was used to generate data for Figures 3 and 4 in the forthcoming manuscript: Throm et al. “Identification of Enhanced Interferon-Gamma Signaling in Polyarticular Juvenile Idiopathic Arthritis with Mass Cytometry”, JCI-Insight. For more information on Citrus, please see: Bruggner et al. (2014) <doi:10.1073/pnas.1408792111>. To download the 'citrus' package, please see <https://github.com/nolanlab/citrus>.
| Version: | 1.0.0 |
| Depends: | R (≥ 2.10) |
| Imports: | ggplot2 |
| Published: | 2018-07-05 |
| DOI: | 10.32614/CRAN.package.mineCitrus |
| Author: | Allison Throm |
| Maintainer: | Allison Throm <throm at wustl.edu> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | mineCitrus results |
| Reference manual: | mineCitrus.pdf |
| Package source: | mineCitrus_1.0.0.tar.gz |
| Windows binaries: | r-devel: mineCitrus_1.0.0.zip, r-release: mineCitrus_1.0.0.zip, r-oldrel: mineCitrus_1.0.0.zip |
| macOS binaries: | r-release (arm64): mineCitrus_1.0.0.tgz, r-oldrel (arm64): mineCitrus_1.0.0.tgz, r-release (x86_64): mineCitrus_1.0.0.tgz, r-oldrel (x86_64): mineCitrus_1.0.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.