Cyanobacteria Population Identification for Flow Cytometry

An approach to filter out and/or identify synechococcus type cyanobacteria cells from all particles measured via flow cytometry. It combines known characteristics of these cyanobacteria strains alongside gating techniques developed by Mehrnoush, M. et al. (2015) 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.


Reference manual

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0.1.3 by Oluwafemi Olusoji, 10 months ago

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Authors: Oluwafemi Olusoji [aut, cre] , Aerts Marc [ctb] , Delaender Frederik [ctb] , Neyens Thomas [ctb] , Spaak jurg [aut]

Documentation:   PDF Manual  

GPL-3 license

Imports flowCore, flowDensity, graphics, grDevices, methods, RColorBrewer, Rdpack, stats, stringr, utils

Depends on Biobase

Suggests dplyr, magrittr, knitr, rmarkdown, tidyr

See at CRAN