Apply flowAI anomaly detection to clean cytometry data

Apply flowAI anomaly detection to clean cytometry data

cyto_clean(x, ...)

Arguments

x	object of class flowFrame, flowSet, GatingHierarchy or GatingSet. The root node extracted when a GatingSet or GatingHierachy is supplied.
...	additional arguments passed to flow_auto_qc.

References

Monaco,G. et al. (2016) flowAI: automatic and interactive anomaly discerning tools for flow cytometry data. Bioinformatics. 2016 Aug 15;32(16):2473-80. https://academic.oup.com/bioinformatics/article/32/16/2473/2240408

See also

flow_auto_qc

Author

Dillon Hammill, Dillon.Hammill@anu.edu.au

Examples

library(CytoExploreRData)

# Activation flowSet
fs <- Activation

# Clean Activation flowSet
fs <- cyto_clean(fs)

# Activation GatingSet
gs <- GatingSet(fs)

# Clean Activation GatingSet
gs <- cyto_clean(gs)