To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("flowAI")
In most cases, you don't need to download the package archive at all.
This package is for version 3.3 of Bioconductor; for the stable, up-to-date release version, see flowAI.
Bioconductor version: 3.3
The package is able to perform an automatic or interactive quality control on FCS data acquired using flow cytometry instruments. By evaluating three different properties: 1) flow rate, 2) signal acquisition, 3) dynamic range, the quality control enables the detection and removal of anomalies.
Author: Gianni Monaco, Hao Chen
Maintainer: Gianni Monaco <gianni at liverpool.ac.uk>
Citation (from within R,
enter citation("flowAI")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("flowAI")
HTML | R Script | Automatic and GUI methods to do quality control on Flow cytometry Data |
Reference Manual | ||
Text | NEWS |
biocViews | BiomedicalInformatics, FlowCytometry, QualityControl, Software |
Version | 1.2.9 |
In Bioconductor since | BioC 3.3 (R-3.3) (< 6 months) |
License | GPL |
Depends | R (>= 3.2) |
Imports | ggplot2, flowCore, plyr, changepoint, knitr, reshape2, RColorBrewer, scales |
LinkingTo | |
Suggests | testthat, shiny, rmarkdown |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | flowAI_1.2.9.tar.gz |
Windows Binary | flowAI_1.2.9.zip |
Mac OS X 10.9 (Mavericks) | flowAI_1.2.9.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/flowAI/tree/release-3.3 |
Package Short Url | http://bioconductor.org/packages/flowAI/ |
Package Downloads Report | Download Stats |
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