fg_feat_prop_edge: Generates the proportion edge feature.

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

Generates the proportion edge feature.

Description

Generates the proportion edge feature and returns it inside the flowGraph object.

Usage

fg_feat_edge_prop(fg, no_cores = 1, overwrite = FALSE)

Arguments

fg	flowGraph object.
no_cores	An integer indicating how many cores to parallelize on.
overwrite	A logical variable indicating whether to overwrite the existing proportion edge feature if it exists.

Details

Given a flowGraph object, fg_feat_edge_prop returns the same flowGraph object with an additional proportions prop edge feature and its meta data. The proportions feature is made using the node count feature and is the cell count of each cell population (e.g. A+B+) over the cell count of its parent (e.g. A+); each edge then corresponds with such a relationship. The edge feature matrix has column names <from>_<to> e.g. A+_A+B+.

Value

flowGraph object containing the proportion edge feature.

See Also

flowGraph-class fg_feat_node_prop fg_feat_node_specenr fg_add_feature fg_get_feature fg_rm_feature fg_get_feature_desc

Examples

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

 fg <- fg_feat_edge_prop(fg)

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