Package: flowSpecs 1.27.0

Jakob Theorell

flowSpecs: Tools for processing of high-dimensional cytometry data

This package is intended to fill the role of conventional cytometry pre-processing software, for spectral decomposition, transformation, visualization and cleanup, and to aid further downstream analyses, such as with DepecheR, by enabling transformation of flowFrames and flowSets to dataframes. Functions for flowCore-compliant automatic 1D-gating/filtering are in the pipe line. The package name has been chosen both as it will deal with spectral cytometry and as it will hopefully give the user a nice pair of spectacles through which to view their data.

Authors:Jakob Theorell [aut, cre]

flowSpecs_1.27.0.tar.gz
flowSpecs_1.27.0.zip(r-4.7)flowSpecs_1.27.0.zip(r-4.6)flowSpecs_1.27.0.zip(r-4.5)
flowSpecs_1.27.0.tgz(r-4.6-any)flowSpecs_1.27.0.tgz(r-4.5-any)
flowSpecs_1.27.0.tar.gz(r-4.7-any)flowSpecs_1.27.0.tar.gz(r-4.6-any)
flowSpecs_1.27.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
flowSpecs/json (API)
NEWS

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

Bug tracker:https://github.com/jtheorell/flowspecs/issues

Datasets:

On BioConductor:flowSpecs-1.27.0(bioc 3.24)flowSpecs-1.26.0(bioc 3.23)

softwarecellbasedassaysdatarepresentationimmunooncologyflowcytometrysinglecellvisualizationnormalizationdataimport

4.64 score 6 stars 12 scripts 400 downloads 8 exports 45 dependencies

Last updated from:b4c6fc3938. Checks:8 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksNOTE151
linux-devel-x86_64NOTE273
source / vignettesOK240
linux-release-x86_64NOTE208
macos-release-arm64NOTE185
macos-oldrel-arm64NOTE134
windows-develNOTE209
windows-releaseNOTE147
windows-oldrelNOTE164
wasm-releaseOK145

Exports:arcTranscorrectUnmixcorrMatCreateflowSet2LongDfoneVsAllPlotpeakNormspecMatCalcspecUnmix

Dependencies:BHBiobaseBiocGenericsbiocmakeBiocParallelclicodetoolscpp11cytolibdir.expiryfarverfilelockflowCoreformatRfutile.loggerfutile.optionsgenericsggplot2gluegtableisobandlabelinglambda.rlatticelifecyclemagrittrmatrixStatsplyrR6RColorBrewerRcppreshape2Rhdf5librlangRProtoBufLibS4VectorsS7scalessnowstringistringrvctrsviridisLitewithrzoo

Example workflow for processing of raw spectral cytometry files

Rendered fromflowSpecs_vinjette.Rmdusingknitr::rmarkdownon May 13 2026.

Last update: 2026-03-16
Started: 2019-09-16