generate_differential_score_graph: Compute difference of interaction score of two groups

In DrDimont: Drug Response Prediction from Differential Multi-Omics Networks

Compute difference of interaction score of two groups

Description

Computes the absolute difference of interaction scores between the two groups. Returns a single graph with the differential score and the differential interaction score as edge attributes. The interaction score is computed by generate_interaction_score_graphs.

Usage

generate_differential_score_graph(interaction_score_graphs, settings)

Arguments

interaction_score_graphs	[list] Named list with elements 'groupA' and 'groupB' containing iGraph objects with weight and interaction_weight as edge attributes (output of generate_interaction_score_graphs)
settings	[list] A named list containing pipeline settings. The settings list has to be initialized by drdimont_settings. Items in the named list can be adjusted as desired.

Value

iGraph object with 'differential_score' and 'differential_interaction_score' as edge attributes

Examples

data(interaction_score_graphs_example)

example_settings <- drdimont_settings()

example_differential_score_graph <- generate_differential_score_graph(
                                        interaction_score_graphs=interaction_score_graphs_example,
                                        settings=example_settings)

DrDimont documentation built on Sept. 23, 2022, 5:06 p.m.