A GatingSet
object
can be exported as a GatingML file or GatingML-based wsp flowJo
workspace (version 10) so that they can be loaded into
Cytobank
or flowJo
.
The GatingSet
to be exported can be either parsed from
Cytobank
or flowJo
or created by automated
gating algorithms from openCtyo
. Here we will demontrate
the latter.
#compensate
comp <- spillover(fs[[1]])[["SPILL"]]
chnls <- colnames(comp)
comp <- compensation(comp)
gs <- compensate(gs, comp)
#transform
trans <- flowjo_biexp_trans()
trans <- transformerList(chnls, trans)
gs <- transform(gs, trans)
Note that the compensation and transformation must
be applied directly to GatingSet
instead of
flowSet/ncdfFlowSet
so that these information will be
stored in the GatingSet
object and exported to gatingML
eventually.
library(openCyto)
#load the original template for tcell panel
tbl <- data.table::fread(system.file("extdata/gating_template/tcell.csv", package = "openCyto"))
#modify some paramters to fit the current data range
tbl[5, gating_args:= "gate_range = c(1e3, 3e3)"]
tbl[c(8,11), gating_args:= "gate_range = c(2e3, 3e3)"]
#write the new template to disc
gtFile <- tempfile()
write.csv(tbl, file = gtFile)
##reload the new template
gt <- gatingTemplate(gtFile, autostart = 1L)
#run the gating
gating(gt, gs)
#hide the gates that are not of interest
toggle.helperGates(gt, gs)
#visualize the gates
library(ggcyto)
autoplot(gs[[1]])
## [1] "/tmp/RtmpSeke8L/file1950141c1c8d.xml"
Note that the resulted xml
file is a standard
GatingML2.0
file with some additional
custom_info
added so that it can be recognized by
Cytobank
. Here is the example gate plot from
Cytobank
after the gatingML is imported.