src/find_interaction_cluster/create_ppi_files.py: modification to call the new...

src/find_interaction_cluster/create_ppi_files.py: modification to call the new functions created in src/find_interaction_cluster/radomization_test_ppi.py

src/find_interaction_cluster/create_ppi_files.py

@@ -22,7 +22,7 @@ from .community_finder import create_graph, find_communities, \
     write_cytoscape_graph
 from doctest import testmod
 from .radomization_test_ppi import get_ppi_community_gene, \
-    get_dna_community_gene, update_overlap_df
+    get_dna_community_gene, update_overlap_df,summary_randomisation_test
 
 
 def get_community_dic_fom_community_file(mfile: Union[Path, pd.DataFrame],
@@ -310,13 +310,23 @@ def ppi_stats_analysis(community_file: Path, fasterdb_ppi: Path,
     ppi_gene = get_ppi_community_gene(pd.read_csv(ppi_outfile, sep="\t"))
     dic_dna_gene = get_dna_community_gene(pd.read_csv(community_file,
                                                       sep="\t"))
-    df = update_overlap_df(df_overlap, dic_dna_gene, ppi_gene, iteration)
+    df, dic_values = update_overlap_df(df_overlap, dic_dna_gene, ppi_gene,
+                                       iteration)
     outstat = ConfigGraph.get_community_file(project, weight, global_weight,
                                              same_gene, "gene",
                                              f"ppi_gene_table_{iteration}_"
                                              f"stat.txt",
                                              "community_gene_vs_protein")
     df.to_csv(outstat, sep="\t", index=False)
+    final_df = summary_randomisation_test(df, dic_dna_gene, ppi_gene,
+                                          iteration, dic_values,
+                                          use_seed = False)
+    outstat = ConfigGraph.get_community_file(project, weight, global_weight,
+                                             same_gene, "gene",
+                                             f"ppi_gene_table_{iteration}_"
+                                             f"stat_recap.txt",
+                                             "community_gene_vs_protein")
+    final_df.to_csv(outstat, sep="\t", index=False)
 
 
 def ppi_stat_launcher(ps: int, weights: List[int],