Individual graphs created by generate_individual_graphs
are combined to a single graph per group according to `inter_layer_connections`. Returns a
list of combined graphs along with their annotations.
generate_combined_graphs(
graphs,
annotations,
inter_layer_connections,
settings
)
A named list (elements `graphs` and sub-elements `$groupA` and `$groupB`, and `annotations` and sub-element `both`). Contains the igraph objects of the combined network and their annotations for both groups.
[list] A named list (elements `groupA` and `groupB`). Each element contains a list of
iGraph objects (`graphs` from output of generate_individual_graphs
).
[list] A named list (elements `groupA`, `groupB` and `both`). Each element contains a
list of data frames mapping each node IDs to identifiers. `both` contains unique identifiers across the
whole data. (`annotations` from output of generate_individual_graphs
)
[list] Named list with specified inter-layer connections. Names are layer names and elements are connections (make_connection).
[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.
# \dontshow{
WGCNA::disableWGCNAThreads()
# }
data(individual_graphs_example)
data(metabolite_protein_interactions)
example_inter_layer_connections = list(make_connection(from='mrna', to='protein',
connect_on='gene_name', weight=1),
make_connection(from='protein', to='phosphosite',
connect_on='gene_name', weight=1),
make_connection(from='protein', to='metabolite',
connect_on=metabolite_protein_interactions,
weight='combined_score'))
example_settings <- drdimont_settings()
example_combined_graphs <- generate_combined_graphs(
graphs=individual_graphs_example$graphs,
annotations=individual_graphs_example$annotations,
inter_layer_connections=example_inter_layer_connections,
settings=example_settings)
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