To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("MetaCyto")

In most cases, you don't need to download the package archive at all.

MetaCyto

DOI: 10.18129/B9.bioc.MetaCyto    

MetaCyto: A package for meta-analysis of cytometry data

Bioconductor version: Release (3.6)

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

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

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

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("MetaCyto")

Documentation

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PDF   Reference Manual

Details

biocViews CellBasedAssays, CellBiology, Clustering, FlowCytometry, Preprocessing, Software, StatisticalMethod
Version 1.0.0
License GPL (>= 2)
Depends R (>= 3.4)
Imports flowCore(>= 1.4), tidyr (>= 0.7), fastcluster, ggplot2, metafor, cluster, FlowSOM, grDevices, graphics, stats, utils
LinkingTo
Suggests knitr, dplyr
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Source Package MetaCyto_1.0.0.tar.gz
Windows Binary MetaCyto_1.0.0.zip
Mac OS X 10.11 (El Capitan) MetaCyto_1.0.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/MetaCyto
Package Short Url http://bioconductor.org/packages/MetaCyto/
Package Downloads Report Download Stats

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