Package: flowAI 1.37.0

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_1.37.0.tar.gz
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flowAI.pdf |flowAI.html
flowAI/json (API)
NEWS

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

Peer review:

Datasets:

On BioConductor:flowAI-1.37.0(bioc 3.21)flowAI-1.36.0(bioc 3.20)

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

flowcytometryqualitycontrolbiomedicalinformaticsimmunooncology

5.64 score 3 packages 80 scripts 974 downloads 2 mentions 2 exports 67 dependencies

Last updated 2 months agofrom:1a2a8aa392. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 10 2024
R-4.5-winOKDec 10 2024
R-4.5-linuxOKDec 10 2024
R-4.4-winOKDec 10 2024
R-4.4-macOKDec 10 2024
R-4.3-winOKDec 10 2024
R-4.3-macOKDec 10 2024

Exports:flow_auto_qcflow_iQC

Dependencies:base64encBHBiobaseBiocGenericsbslibcachemchangepointclicolorspacecpp11cytolibdigestevaluatefansifarverfastmapflowCorefontawesomefsgenericsggplot2gluegtablehighrhtmltoolsisobandjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMASSMatrixmatrixStatsmemoisemgcvmimemunsellnlmepillarpkgconfigplyrR6rappdirsRColorBrewerRcppreshape2Rhdf5librlangrmarkdownRProtoBufLibS4Vectorssassscalesstringistringrtibbletinytexutf8vctrsviridisLitewithrxfunyamlzoo

Quality control with flowAI

Rendered fromflowAI.Rmdusingknitr::rmarkdownon Dec 10 2024.

Last update: 2020-11-22
Started: 2016-01-28