check_input |
Check pipeline input data for required format |
combined_graphs_example |
Combined graphs |
compute_correlation_matrices |
Computes correlation matrices for specified network layers |
compute_drug_response_scores |
Calculate drug response score |
correlation_matrices_example |
Correlation matrices |
determine_drug_targets |
Determine drug target nodes in network |
differential_graph_example |
Differential graph |
drdimont_settings |
Create global settings variable for DrDimont pipeline |
drug_gene_interactions |
Drug-gene interactions |
drug_response_scores_example |
Drug response score |
drug_target_edges_example |
Drug target nodes in combined network |
generate_combined_graphs |
Combines individual layers to a single graph |
generate_differential_score_graph |
Compute difference of interaction score of two groups |
generate_individual_graphs |
Builds graphs from specified network layers |
generate_interaction_score_graphs |
Computes interaction score for combined graphs |
individual_graphs_example |
Individual graphs |
install_python_dependencies |
Installs python dependencies needed for interaction score computation |
interaction_score_graphs_example |
Interaction score graphs |
layers_example |
Formatted layers object |
make_connection |
Specify connection between two individual layers |
make_drug_target |
Reformat drug-target-interaction data |
make_layer |
Creates individual molecular layers from raw data and unique identifiers |
metabolite_data |
Metabolomics data |
metabolite_protein_interactions |
Metabolite protein interaction data |
mrna_data |
mRNA expression data |
phosphosite_data |
Phosphosite data |
protein_data |
Protein data |
return_errors |
Return detected errors in the input data |
run_pipeline |
Execute all DrDimont pipeline steps sequentially |