fg_extract_raw: Clears all features and feature summaries in a flowGraph...

In aya49/flowGraph: Identifying differential cell populations in flow cytometry data accounting for marker frequency

Clears all features and feature summaries in a flowGraph object.

Description

Returns a flowGraph object with only the count feature and meta data. This function clears all other features and feature summaries to save space.

Usage

fg_extract_raw(fg)

Arguments

fg	flowGraph object.

Value

flowGraph object with all summary statistics and feature values removed except for the node count feature.

See Also

flowGraph-class

Examples

 no_cores <- 1
 data(fg_data_pos30)
 fg <- flowGraph(fg_data_pos30$count, class=fg_data_pos30$meta$class,
                 no_cores=no_cores)

 fg <- fg_extract_raw(fg)
 show(fg)

aya49/flowGraph documentation built on Feb. 4, 2024, 6:40 p.m.