This is the development version of cyanoFilter; for the stable release version, see cyanoFilter.
Phytoplankton Population Identification using Cell Pigmentation and/or ComplexityBioconductor version: Development (3.22)
An approach to filter out and/or identify phytoplankton cells from all particles measured via flow cytometry pigment and cell complexity information. It does this using a sequence of one-dimensional gates on pre-defined channels measuring certain pigmentation and complexity. The package is especially tuned for cyanobacteria, but will work fine for phytoplankton communities where there is at least one cell characteristic that differentiates every phytoplankton in the community.
Author: Oluwafemi Olusoji [cre, aut], Aerts Marc [ctb], Delaender Frederik [ctb], Neyens Thomas [ctb], Spaak jurg [aut]
Maintainer: Oluwafemi Olusoji <oluwafemi.olusoji at uhasselt.be>
Citation (from within R, entercitation("cyanoFilter")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("cyanoFilter")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("cyanoFilter")
cyanoFilter: A Semi-Automated Framework for Identifying Phytplanktons and Cyanobacteria Population in Flow Cytometry HTML R Script Reference Manual PDF NEWS Text LICENSE Text Details biocViews Clustering, FlowCytometry, OneChannel, Software Version 1.17.0 In Bioconductor since BioC 3.13 (R-4.1) (4 years) License MIT + file LICENSE Depends R (>= 4.1.0) Imports Biobase, flowCore, flowDensity, flowClust, cytometree, ggplot2, GGally, graphics, grDevices, methods, mrfDepth, stats, utils System Requirements URL https://github.com/fomotis/cyanoFilter Bug Reports https://github.com/fomotis/cyanoFilter/issues See More Package Archives
Follow Installation instructions to use this package in your R session.
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