Package: flowAI 1.42.0

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_1.42.0.tar.gz
flowAI_1.42.0.zip(r-4.7)flowAI_1.42.0.zip(r-4.6)flowAI_1.42.0.zip(r-4.5)
flowAI_1.42.0.tgz(r-4.6-any)flowAI_1.42.0.tgz(r-4.5-any)
flowAI_1.42.0.tar.gz(r-4.7-any)flowAI_1.42.0.tar.gz(r-4.6-any)
flowAI_1.42.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
flowAI/json (API)
NEWS

# Install 'flowAI' in R:

install.packages('flowAI', repos = c('https://bioc-release.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

5.71 score 4 packages 97 scripts 1.1k downloads 2 mentions 2 exports 60 dependencies

Last updated from:58d8067786 (on RELEASE_3_23). Checks:1 WARNING, 9 OK. Indexed: no.

Target	Result	Time
bioc-checks	WARNING	174
linux-devel-x86_64	OK	206
source / vignettes	OK	220
linux-release-x86_64	OK	180
macos-release-arm64	OK	121
macos-oldrel-arm64	OK	164
windows-devel	OK	140
windows-release	OK	131
windows-oldrel	OK	134
wasm-release	OK	142