cyanoFilter: Cyanobacteria Population Identification for Flow Cytometry

An approach to filter out and/or identify two synechococcus type cyanobacteria cells from all particles measured via flow cytometry. It combines known characteristics of these two cyanobacteria strains (BS4 and BS5) alongside gating techniques developed by Mehrnoush, M. et al. (2015) <doi:10.1093/bioinformatics/btu677> in the 'flowDensity' package to identify and separate these cyanobacteria cells from other cell types. Aside the gating techniques in the 'flowDensity' package, an EM style clustering technique is also developed to identify these cyanobacteria cell populations.

Version: 0.1.1
Depends: R (≥ 3.4), Biobase (≥ 2.40.0)
Imports: flowCore (≥ 1.42.3), flowDensity (≥ 1.10.0), graphics (≥ 3.6.0), grDevices (≥ 3.6.0), methods (≥ 3.5.1), RColorBrewer (≥ 1.1-2), Rdpack (≥ 0.11-0), stats (≥ 3.6.0), stringr (≥ 1.3.1), utils (≥ 3.6.0)
Suggests: dplyr, magrittr, knitr, rmarkdown, tidyr
Published: 2019-08-09
Author: Oluwafemi Olusoji [aut, cre], Aerts Marc [ctb], Delaender Frederik [ctb], Neyens Thomas [ctb], Spaak jurg [aut]
Maintainer: Oluwafemi Olusoji <oluwafemi.olusoji at>
License: GPL-3
NeedsCompilation: no
Materials: README NEWS
CRAN checks: cyanoFilter results


Reference manual: cyanoFilter.pdf
Vignettes: cyanoFilter: An Automated Framework for Identifying synechoccus type cyanobacteria population in Flow Cytometry
Package source: cyanoFilter_0.1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel: not available
OS X binaries: r-release: cyanoFilter_0.1.1.tgz, r-oldrel: not available


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