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MetaCyto

This is the development version of MetaCyto; for the stable release version, see MetaCyto.

MetaCyto: A package for meta-analysis of cytometry data

Bioconductor version: Development (3.18)

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 "4.3") and enter:

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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

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 1.23.0
In Bioconductor since BioC 3.6 (R-3.4) (6 years)
License GPL (>= 2)
Depends R (>= 3.4)
Imports flowCore(>= 1.4), tidyr (>= 0.7), fastcluster, ggplot2, metafor, cluster, FlowSOM, grDevices, graphics, stats, utils
Linking To
Suggests knitr, dplyr, rmarkdown
System Requirements
Enhances
URL
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Imports Me
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Build Report  

Package Archives

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

Source Package MetaCyto_1.23.0.tar.gz
Windows Binary MetaCyto_1.23.0.zip (64-bit only)
macOS Binary (x86_64) MetaCyto_1.23.0.tgz
macOS Binary (arm64) MetaCyto_1.23.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/MetaCyto
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/MetaCyto
Bioc Package Browser https://code.bioconductor.org/browse/MetaCyto/
Package Short Url https://bioconductor.org/packages/MetaCyto/
Package Downloads Report Download Stats