diff --git a/pandasaurus_cxg/anndata_analyzer.py b/pandasaurus_cxg/anndata_analyzer.py index 10f6a53..2eb4b05 100644 --- a/pandasaurus_cxg/anndata_analyzer.py +++ b/pandasaurus_cxg/anndata_analyzer.py @@ -175,7 +175,9 @@ def _enrich_co_annotation(enricher: AnndataEnricher): enriched_df = enricher.enricher.enriched_df if enriched_df.empty: return enriched_df - return enriched_df[enriched_df["o"].isin(enricher.seed_list)][["s_label", "o_label"]] + return enriched_df[enriched_df["o"].isin(list(enricher.seed_dict.keys()))][ + ["s_label", "o_label"] + ] def _filter_data_and_drop_duplicates(self, field_name_1, field_name_2, disease): # Filter the data based on the disease condition diff --git a/pandasaurus_cxg/anndata_enricher.py b/pandasaurus_cxg/anndata_enricher.py index d962fc3..8594db8 100644 --- a/pandasaurus_cxg/anndata_enricher.py +++ b/pandasaurus_cxg/anndata_enricher.py @@ -46,8 +46,12 @@ def __init__( ontology_list_for_slims = ["Cell Ontology"] # TODO Do we need to keep whole anndata? Would it be enough to keep the obs only? self.anndata = anndata - self.seed_list = self.anndata.obs[cell_type_field].unique().tolist() - self.enricher = Query(self.seed_list) + self.seed_dict = dict( + self.anndata.obs.drop_duplicates(subset=[cell_type_field, "cell_type"])[ + [cell_type_field, "cell_type"] + ].values + ) + self.enricher = Query(list(self.seed_dict.keys())) try: unique_context = self.anndata.obs[ [context_field, context_field_label] @@ -226,7 +230,7 @@ def set_enricher_property_list(self, property_list: List[str]): Args: property_list (List[str]): The list of properties to include in the enrichment analysis. """ - self.enricher = Query(self.seed_list, property_list) + self.enricher = Query(list(self.seed_dict.keys()), property_list) def validate_slim_list(self, slim_list): """Check if any slim term in the given list is invalid. diff --git a/pandasaurus_cxg/graph_generator/graph_generator.py b/pandasaurus_cxg/graph_generator/graph_generator.py index 242d5a3..1801caa 100644 --- a/pandasaurus_cxg/graph_generator/graph_generator.py +++ b/pandasaurus_cxg/graph_generator/graph_generator.py @@ -147,38 +147,11 @@ def generate_rdf_graph(self): # transitive reduction step self.graph = graphgen.apply_transitive_reduction(self.graph, [subcluster.toPython()]) - def enrich_rdf_graph(self): - """ - Enrich RDF graph with enriched DataFrame from AnndataEnricher - - Returns: - - """ - if self.ea.enricher_manager.enricher.enriched_df.empty: - # TODO or we can just call simple_enrichment method - enrichment_methods = [i for i in dir(AnndataEnricher) if "_enrichment" in i] - enrichment_methods.sort() - raise MissingEnrichmentProcess(enrichment_methods) - cell_type_dict = ( - pd.concat( - [ - self.ea.enricher_manager.enricher.enriched_df[["s", "s_label"]], - self.ea.enricher_manager.enricher.enriched_df[["o", "o_label"]].rename( - columns={"o": "s", "o_label": "s_label"} - ), - ], - axis=0, - ignore_index=True, - ) - .drop_duplicates() - .set_index("s")["s_label"] - .to_dict() - ) # add cell_type nodes and consists_of relations cl_namespace = Namespace("http://purl.obolibrary.org/obo/CL_") consist_of = URIRef(CONSIST_OF.get("iri")) self.graph.add((consist_of, RDFS.label, Literal(CONSIST_OF.get("label")))) - for curie, label in cell_type_dict.items(): + for curie, label in self.ea.enricher_manager.seed_dict.items(): resource = cl_namespace[curie.split(":")[-1]] self.graph.add((resource, RDFS.label, Literal(label))) self.graph.add((resource, RDF.type, OWL.Class)) @@ -192,7 +165,19 @@ def enrich_rdf_graph(self): # Add the restriction self.graph.add((s, RDF.type, class_expression_bnode)) - # 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test_generate_rdf_graph(graph_generator_instance_for_kidney): graph_generator = graph_generator_instance_for_kidney graph_generator.generate_rdf_graph() - assert len(graph_generator.graph) == 433 + assert len(graph_generator.graph) == 530 assert ( - len([[s, p, o] for s, p, o in graph_generator.graph.triples((None, RDF.type, None))]) == 95 + len([[s, p, o] for s, p, o in graph_generator.graph.triples((None, RDF.type, None))]) == 143 ) assert ( - len([[s, p, o] for s, p, o in graph_generator.graph.triples((None, RDFS.label, None))]) == 2 + len([[s, p, o] for s, p, o in graph_generator.graph.triples((None, RDFS.label, None))]) + == 19 ) assert ( len( @@ -151,11 +152,11 @@ def test_enrich_rdf_graph(graph_generator_instance_for_kidney): graph_generator = graph_generator_instance_for_kidney graph_generator.generate_rdf_graph() - assert len(graph_generator.graph) == 433 + assert len(graph_generator.graph) == 530 graph_generator.enrich_rdf_graph() - assert len(graph_generator.graph) == 1013 + assert len(graph_generator.graph) == 1025 assert ( URIRef(CONSIST_OF.get("iri")), RDFS.label, diff --git a/test/test_anndata_enricher.py b/test/test_anndata_enricher.py index a88e833..3094341 100644 --- a/test/test_anndata_enricher.py +++ b/test/test_anndata_enricher.py @@ -56,7 +56,7 @@ def test_init_defaults(mocker, sample_immune_data, slim_data): assert enricher.anndata.obs["cell_type_ontology_term_id"].equals( sample_immune_data.obs["cell_type_ontology_term_id"] ) - assert enricher.seed_list == [ + assert list(enricher.seed_dict.keys()) == [ "CL:0000788", "CL:0000787", "CL:0000798", @@ -85,7 +85,7 @@ def test_init_custom_fields(sample_immune_data): context_field_label="cell_type", ) - assert enricher.seed_list == ["UBERON:0000178"] + assert list(enricher.seed_dict) == ["UBERON:0000178"] assert enricher._context_list == { "CL:0000788": "naive B cell", "CL:0000787": "memory B cell",