MetaCyto

This is the released version of MetaCyto; for the devel version, see MetaCyto.

MetaCyto: A package for meta-analysis of cytometry data


Bioconductor version: Release (3.20)

This package provides functions for preprocessing, automated gating and meta-analysis of cytometry data. It also provides functions that facilitate the collection of cytometry data from the ImmPort database.

Author: Zicheng Hu, Chethan Jujjavarapu, Sanchita Bhattacharya, Atul J. Butte

Maintainer: Zicheng Hu <zicheng.hu at ucsf.edu>

Citation (from within R, enter citation("MetaCyto")):

Installation

To install this package, start R (version "4.4") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("MetaCyto")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("MetaCyto")
Vignette Title HTML R Script
Reference Manual PDF

Details

biocViews CellBasedAssays, CellBiology, Clustering, FlowCytometry, ImmunoOncology, Preprocessing, Software, StatisticalMethod
Version 1.28.0
In Bioconductor since BioC 3.6 (R-3.4) (7 years)
License GPL (>= 2)
Depends R (>= 3.4)
Imports flowCore(>= 1.4), tidyr (>= 0.7), fastcluster, ggplot2, metafor, cluster, FlowSOM, grDevices, graphics, stats, utils
System Requirements
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Suggests knitr, dplyr, rmarkdown
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package MetaCyto_1.28.0.tar.gz
Windows Binary (x86_64) MetaCyto_1.28.0.zip
macOS Binary (x86_64) MetaCyto_1.28.0.tgz
macOS Binary (arm64) MetaCyto_1.28.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/MetaCyto
Source Repository (Developer Access) git clone [email protected]:packages/MetaCyto
Bioc Package Browser https://code.bioconductor.org/browse/MetaCyto/
Package Short Url https://bioconductor.org/packages/MetaCyto/
Package Downloads Report Download Stats