Package: flowAI 1.43.0

Gianni Monaco

flowAI: Automatic and interactive quality control for flow cytometry data

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.

Authors:Gianni Monaco [aut], Chen Hao [ctb]

flowAI_1.43.0.tar.gz
flowAI_1.43.0.zip(r-4.7)flowAI_1.43.0.zip(r-4.6)flowAI_1.43.0.zip(r-4.5)
flowAI_1.43.0.tgz(r-4.6-any)flowAI_1.43.0.tgz(r-4.5-any)
flowAI_1.43.0.tar.gz(r-4.7-any)flowAI_1.43.0.tar.gz(r-4.6-any)
flowAI_1.43.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
flowAI/json (API)

# Install 'flowAI' in R:

install.packages('flowAI', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

Bcells - FlowSet of B cells.

On BioConductor:flowAI-1.43.0(bioc 3.24)flowAI-1.42.0(bioc 3.23)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

flowcytometry qualitycontrol biomedicalinformatics immunooncology

5.89 score 4 packages 162 scripts 2 mentions 2 exports 60 dependencies

Last updated from:dab50e5018. Checks:1 WARNING, 9 OK. Indexed: yes.

Target	Result	Time
bioc-checks	WARNING	163
linux-devel-x86_64	OK	212
source / vignettes	OK	222
linux-release-x86_64	OK	207
macos-release-arm64	OK	115
macos-oldrel-arm64	OK	110
windows-devel	OK	149
windows-release	OK	148
windows-oldrel	OK	128
wasm-release	OK	138