MetaCyto

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

All versions

3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6

MetaCyto: A package for meta-analysis of cytometry data

Bioconductor version: Release (3.23)

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")):

Zicheng Hu, Chethan Jujjavarapu, Sanchita Bhattacharya, Atul J. Butte. MetaCyto: MetaCyto: A package for meta-analysis of cytometry data. doi:10.18129/B9.bioc.MetaCyto, R package version 1.34.0, https://bioconductor.org/packages/MetaCyto.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") 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

Need some help? Ask on the Bioconductor Support site!

Details

biocViews	CellBasedAssays, CellBiology, Clustering, FlowCytometry, ImmunoOncology, Preprocessing, Software, StatisticalMethod
Version	1.34.0
In Bioconductor since	BioC 3.6 (R-3.4) (9 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
URL

Suggests	knitr, dplyr, rmarkdown
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report	Build Report, r-universe

Package Archives

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

Source Package	MetaCyto_1.34.0.tar.gz
Windows Binary (x86_64)	MetaCyto_1.34.0.zip
macOS Binary (big-sur-x86_64)	MetaCyto_1.34.0.tgz
macOS Binary (sonoma-arm64)	MetaCyto_1.34.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/MetaCyto
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/MetaCyto
Package Short Url	https://bioconductor.org/packages/MetaCyto/
Package Downloads Report	Download Stats