# Drug Response Prediction from Differential Multi-Omics Networks

## Documentation for package ‘DrDimont’ version 0.1.6

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

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