Create Diagrams for Enriched Terms

  input_processed = NULL,
  hsa_KEGG = TRUE,
  pin_name_path = "Biogrid",



Data frame of enrichment results. Must-have columns for KEGG human pathway diagrams (hsa_kegg = TRUE) are: 'ID' and 'Term_Description'. Must-have columns for the rest are: 'Term_Description', 'Up_regulated' and 'Down_regulated'


input data processed via input_processing, not necessary when hsa_KEGG = FALSE


boolean to indicate whether human KEGG gene sets were used for enrichment analysis or not (default = TRUE)


Name of the chosen PIN or absolute/path/to/PIN.sif. If PIN name, must be one of c('Biogrid', 'STRING', 'GeneMania', 'IntAct', 'KEGG', 'mmu_STRING'). If path/to/PIN.sif, the file must comply with the PIN specifications. (Default = 'Biogrid')


additional arguments for visualize_hsa_KEGG (used when hsa_kegg = TRUE) or visualize_term_interactions (used when hsa_kegg = FALSE)


Depending on the argument hsa_KEGG, creates visualization of interactions of genes involved in the list of enriched terms in

result_df and saves them in the folder 'term_visualizations' under the current working directory.


For hsa_KEGG = TRUE, KEGG human pathway diagrams are created, affected nodes colored by up/down regulation status. For other gene sets, interactions of affected genes are determined (via a shortest-path algorithm) and are visualized (colored by change status) using igraph.

See also

See visualize_hsa_KEGG for the visualization function of human KEGG diagrams. See visualize_term_interactions for the visualization function that generates diagrams showing the interactions of input genes in the PIN. See run_pathfindR for the wrapper function of the pathfindR workflow.


if (FALSE) {
visualize_terms(result_df, input_processed)
visualize_terms(result_df, hsa_KEGG = FALSE, pin_name_path = 'IntAct')