View source: R/writeGatingStrategy.R
writeGatingStrategy | R Documentation |
Writes GatingML from an 'IFC_data' object to a xml file
writeGatingStrategy(
obj,
write_to,
overwrite = FALSE,
display_progress = TRUE,
verbose = FALSE,
...
)
obj |
an 'IFC_data' object extracted with features extracted. |
write_to |
pattern used to export file.
Placeholders, like "%d/%s_fromR.%e", will be substituted: |
overwrite |
whether to overwrite file or not. Default is FALSE. |
display_progress |
whether to display a progress bar. Default is TRUE. |
verbose |
whether to display information (use for debugging purpose). Default is FALSE. |
... |
other arguments to be passed. |
Partial implementation of ISAC's Gating-ML 2.0 data exchange standard for gating description.
See Josef Spidlen et al. Cytometry A 87 683-687 (2015). \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1002/cyto.a.22690")}
GatingML is partly implemented because:
-Tagged population are not part of GatingML gates
-IDEAS/INSPIRE regions are different from the collection of gates listed in GatingML. Notably,
–only 1 or 2 dimensions gates will be used,
–range gates and quadrant gates are absent from IDEAS/INSPIRE
–ellipse gates exist in IDEAS/INSPIRE but are axis aligned and not rotated.
-Transformation applied in IFC is not part of GatingML.
Nonetheless, when possible additional information are provided in dedicated custom_info field.
It invisibly returns full path of exported file.
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