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.
Bioconductor version: Release (3.5)
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 | 1.4.4 |
In Bioconductor since | BioC 3.3 (R-3.3) (1.5 years) |
License | GPL |
Depends | R (>= 3.4) |
Imports | ggplot2, flowCore, plyr, changepoint, knitr, reshape2, RColorBrewer, scales, methods, graphics, stats, utils |
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.
Source Package | flowAI_1.4.4.tar.gz |
Windows Binary | flowAI_1.4.4.zip |
Mac OS X 10.11 (El Capitan) | flowAI_1.4.4.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/flowAI |
Package Short Url | http://bioconductor.org/packages/flowAI/ |
Package Downloads Report | Download Stats |
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