Bioconductor version: Release (3.14)
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 <mongianni1 at gmail.com>
Citation (from within R,
enter citation("flowAI")
):
To install this package, start R (version "4.1") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("flowAI")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("flowAI")
HTML | R Script | Automatic and GUI methods to do quality control on Flow cytometry Data |
Reference Manual | ||
Text | NEWS |
biocViews | BiomedicalInformatics, FlowCytometry, ImmunoOncology, QualityControl, Software |
Version | 1.24.0 |
In Bioconductor since | BioC 3.3 (R-3.3) (6 years) |
License | GPL (>= 2) |
Depends | R (>= 3.6) |
Imports | ggplot2, flowCore, plyr, changepoint, knitr, reshape2, RColorBrewer, scales, methods, graphics, stats, utils, rmarkdown |
LinkingTo | |
Suggests | testthat, shiny, BiocStyle |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | flowAI_1.24.0.tar.gz |
Windows Binary | flowAI_1.24.0.zip (32- & 64-bit) |
macOS 10.13 (High Sierra) | flowAI_1.24.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/flowAI |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/flowAI |
Package Short Url | https://bioconductor.org/packages/flowAI/ |
Package Downloads Report | Download Stats |
Old Source Packages for BioC 3.14 | Source Archive |
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