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mineCitrus
View on CRAN: Click
here
Download and install mineCitrus package within the R console
Install from CRAN:
install.packages("mineCitrus")
Install from Github:
library("remotes")
install_github("cran/mineCitrus") Install by package version:
library("remotes")
install_version("mineCitrus", "1.0.0") Attach the package and use:
library("mineCitrus")
Maintained by
Allison Throm
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-07-05
Latest Update: 2018-07-05
Description:
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.
How to cite:
Allison Throm (2018). mineCitrus: Extract and Analyze Median Molecule Intensity from 'citrus' Output. R package version 1.0.0, https://cran.r-project.org/web/packages/mineCitrus. Accessed 06 Mar. 2026.
Previous versions and publish date:
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Other R packages that mineCitrus depends,
imports, suggests or enhances
Complete documentation for mineCitrus
Functions, R codes and Examples using
the mineCitrus R package
Some associated functions: allmeds . citrus.combinedFCSSet . citrus.foldClustering . citrus.foldFeatureSet . classclustermeds . clustermeds . difMarkerPlots . difMarkerPlots2 . filterMarker . findSig . findclust . plotdif . plotdif2 . posthoc . processforanova . sortmat .
Some associated R codes: allmeds.R . classclustermeds.R . clustermeds.R . data-citrus.combinedFCSSet.R . data-citrus.foldClustering.R . data-citrus.foldFeatureSet.R . difMarkerPlots.R . difMarkerPlots2.R . filterMarker.R . findSig.R . findclust.R . plotdif.R . plotdif2.R . posthoc.R . processforanova.R . sortmat.R . Full mineCitrus package functions and examples
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