Package: mineCitrus 1.0.0
Allison Throm
mineCitrus: Extract and Analyze Median Molecule Intensity from 'citrus' Output
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>.
Authors:
mineCitrus_1.0.0.tar.gz
mineCitrus_1.0.0.tar.gz(r-4.5-noble)mineCitrus_1.0.0.tar.gz(r-4.4-noble)
mineCitrus_1.0.0.tgz(r-4.4-emscripten)mineCitrus_1.0.0.tgz(r-4.3-emscripten)
mineCitrus.pdf |mineCitrus.html✨
mineCitrus/json (API)
# Install 'mineCitrus' in R: |
install.packages('mineCitrus', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- citrus.combinedFCSSet - Cytometry data set for example of Citrus data set from nolanlab/citrus
- citrus.foldClustering - Clustering data for example of Citrus data set from nolanlab/citrus
- citrus.foldFeatureSet - Correlation data for example of Citrus data set from nolanlab/citrus
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 years agofrom:e1dfedf4ab. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 16 2024 |
R-4.5-linux | OK | Oct 16 2024 |
Exports:allmedsclassclustermedsclustermedsdifMarkerPlotsdifMarkerPlots2filterMarkerfindclustfindSigplotdifplotdif2posthocprocessforanovasortmat
Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr