Package: flowAI 1.35.0

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, Hao Chen

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flowAI.pdf |flowAI.html
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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-1.35.0(bioc 3.20)flowAI-1.34.0(bioc 3.19)

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

bioconductor-package

2 exports 1.64 score 66 dependencies 3 dependents 2 mentions

Last updated 2 months agofrom:913ee42104

Exports:flow_auto_qcflow_iQC

Dependencies:base64encBHBiobaseBiocGenericsbslibcachemchangepointclicolorspacecpp11cytolibdigestevaluatefansifarverfastmapflowCorefontawesomefsggplot2gluegtablehighrhtmltoolsisobandjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMASSMatrixmatrixStatsmemoisemgcvmimemunsellnlmepillarpkgconfigplyrR6rappdirsRColorBrewerRcppreshape2Rhdf5librlangrmarkdownRProtoBufLibS4Vectorssassscalesstringistringrtibbletinytexutf8vctrsviridisLitewithrxfunyamlzoo

Quality control with flowAI

Rendered fromflowAI.Rmdusingknitr::rmarkdownon Jun 17 2024.

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