Exemplary intermediate pipeline output: Combined graphs example data built by
generate_combined_graphs
. Combined graphs were built
using the individual_graphs_example and:
combined_graphs_example
A named list with 2 items.
A named list with two groups.
A data frame of mappings of assigned node IDs to the user-provided component identifiers for all nodes in `groupA` and `groupB` together and all layers
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'))
A subset of the original data by Krug et al. (2020) and randomly sampled metabolite
data from layers_example
was used to generate the correlation
matrices, individual graphs and combined graphs. They were created from data
stratified by estrogen receptor (ER) status: `groupA` contains data of ER+
patients and `groupB` of ER- patients.