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v4 Build Details

Tiffany J. Callahan edited this page Oct 30, 2023 · 2 revisions

Release: v4.0.0


(Click Figure to Enlarge)



Release Updates

All statistics featured on this page reflect the initial build for this release. As of February 2022 builds are generated on a monthly schedule.

New Data Sources:

  • ClinVar: Extended the sources originally processed in order to obtain a more detailed representation of variant-gene, variant-disease, and variant-phenotype edges.
  • MedGen: Added to improve the mappings between the various disease identifiers used in the input data sources and the Human Phenotype Ontology and the Mondo Disease Ontology.

New Functionality:

  • Bioregistry: Incorporating the use of the Bioregistry API in order to unify the URLs utilized for each entity.
  • BioLink: Using the BioLink model to obtain metadata tags for classes and relations used in the KGs.
  • Reduced parameters needed to build a KG, which also resulted in simplifying the generates_dependency_documents.py script.
  • Added extensive metadata for node, relation, and edge data, please see the pheknowlator_source_metadata.xlsx spreadsheet for details on what was obtained for each entity from each processed data source.


Jupyter Notebooks


Ontologies

Downloaded Resource Information:


Ontologies: The specific ontologies used in the knowledge graph, including class and axiom counts, are shown in the table below. The counts below are from the May 2021 build.

Ontology Class Count
(un-cleaned)
Triple Count
(un-cleaned)
Class Count
(cleaned)
Triple Count
(cleaned)
Cell Line Ontology (cell) 111,712 1,387,096 11,696 1,422,153
Chemical Entities of Biological Interest (chemical) 156,098 5,264,571 137,592 5,190,485
Gene Ontology (gobp, gomf, gocc) 62,237 1,425,434 55,807 1,343,218
MonDO Disease Ontology (disease) 55,478 2,313,343 52,937 2,277,245
Human Phenotype Ontology (phenotype) 38,843 884,999 38,530 885,379
Human Protein Ontology (protein) 148,243 2,079,356 148,243 2079277
Pathway Ontology (pathway) 2,642 35,291 2600 34,901
Relation Ontology (relations) 116 7,970 115 7,873
Sequence Ontology (genes, variants) 2,910 44,655 2,569 41,980
Uber-Anatomy Ontology (anatomy) 28,738 752,291 27,170 734,768
The Vaccine Ontology (vaccine) 7,089 86,454 7,085 89,764

NOTE. Please see the Ontology_Cleaning.ipynb Jupyter Notebook for details on how the ontologies were preprocessed before being added to the knowledge graph.



Creation of Mapping, Filtering, and Labeling Data

To create the edge types listed in the tables above, several additional files were needed. For more details on these data sources, please see the Data_Preparation.ipynb Jupyter Notebook.

Ontology Class-Instance/Subclass Node Mapping: subclass_construction_map.pkl


Relations Data:
See the relations_directory README.md for more information.

  • Relations and Inverse Relations ➞ INVERSE_RELATIONS.txt
  • Relations and Labels ➞ RELATIONS_LABELS.txt

Node Metadata:
See the node_directory README.md for more information.

  • Node Metadata Dictionary ➞ node_metadata_dict.pkl
{
'nodes': {
    'http://www.ncbi.nlm.nih.gov/gene/1': {
        'Label': 'A1BG',
        'Description': "A1BG has locus group protein-coding' and is located on chromosome 19 (19q13.43).",
        'Synonym': 'HYST2477alpha-1B-glycoprotein|HEL-S-163pA|ABG|A1B|GAB'} ... },
'relations': {
    'http://purl.obolibrary.org/obo/RO_0002533': {
        'Label': 'sequence atomic unit',
        'Description': 'Any individual unit of a collection of like units arranged in a linear order',
        'Synonym': 'None'} ... }
}


Edge Data

Data: https://console.cloud.google.com/storage/browser/pheknowlator/archived_builds/release_v2.0.0

Data Download and Creation Dates: May 2021

Master Edge Lists: Master_Edge_List_Dict.json


Edge List: Whenever possible, we limit edges to homo Sapiens concepts that are supported by some type of evidence. For the exact specifications, please see the resource_info.txt. The counts shown in the table below reflect all edges, including those containing nodes without metadata, that were added to the base ontologies (counts shown above). The counts below do not include the merged ontologies. The counts below are from the May 2021 build.

Edge Edge Relation
(Inverse relation)
Subject Count Edge Count
(Rels / Rels+InvRels)
Object Count
chemical-disease substance that treats
(is treated by substance)
4,290 170,675 / 341,350 4,574
chemical-gene interacts with 462 16,699 / 33,398 11,981
chemical-gobp molecularly interacts with 1,338 288,921 / 557,842 1,584
chemical-gocc molecularly interacts with 1,086 44,553 / 89,106 250
chemical-gomf molecularly interacts with 1,105 26,165 / 52,330 208
chemical-pathway participates in
(has participant)
2,105 28,691 / 57,382 2,213
chemical-phenotype substance that treats
(is treated by substance)
4,055 108,452 / 216,904 1,721
chemical-protein interacts with 4,179 65,124 / 130,248 6,389
chemical-rna interacts with 2,403 3,860,355 / 7,720,710 179,380
disease-phenotype has phenotype (phenotype of) 11,746 414,193 / 828,386 9,717
gene-disease causes or contributes to 5,035 12,735 / 12,735 4,429
gene-gene genetically interacts with 247 1,668 / 3,336 263
gene-pathway participates in
(has participant)
10,371 107,025 / 214,050 1,860
gene-phenotype causes or contributes to 6,785 23,516 / 23,516 1,530
gene-protein has gene product
(gene product of)
19,327 19,534 / 39,068 19,143
gene-rna transcribed to
(transcribed from
25,529 182,736 / 365,472 179,870
gobp-pathway realized in response to 471 665 / 665 665
pathway-gocc has component 11,134 15,846 / 15,846 99
pathway-gomf has function (function of) 2,412 2,416 / 4,832 726
protein-anatomy located in (location of) 10,747 30,682 / 61,364 68
protein-catalyst molecularly interacts with 3,025 24,967 / 49,934 3,734
protein-cell located in (location of) 10,045 75,318 / 150,636 128
protein-cofactor molecularly interacts with 1,585 1,999 / 3,998 44
protein-gobp participates in
(has participant)
17,527 137,812 / 275,624 12,246
protein-gocc located in (location of) 18,427 81,602 / 163,204 1,757
protein-gomf has function (function of) 17,779 68,633 / 137,266 4,324
protein-pathway participates in
(has participant)
10,886 117,585 / 235,170 2,480
protein-protein molecularly interacts with 14,230 618,069 / 618,069 14,230
rna-anatomy located in (location of) 29,115 444,668 / 889,336 103
rna-cell located in (location of) 14,038 65,156 / 130,312 130
rna-protein ribosomally translates to
(ribosomal translation of)
44,144 44,147 / 88,294 19,200
variant-disease causes or contributes to 13,297 38,129 / 38,129 3,621
variant-gene causally influences
(causally influenced by)
121,790 121,790 / 243,580 3,236
variant-phenotype causes or contributes to 1,824 2,526 / 2,526 373

Rels: Relations Only; Rels+InvRels: Relations and Inverse Relations.




Knowledge Graph Output

Data: https://console.cloud.google.com/storage/browser/pheknowlator/archived_builds/release_v2.0.0

There are several options for generating knowledge graphs, which is indicated by the file name for each type of generated output:

CONSTRUCTION APPROACH

Resource: resources/construction_approach/README.md

  • subclass: Non-ontology data are added to existing ontology data using rdfs:subClassOf
  • instance: Non-ontology data are added to existing ontology data using rdf:type. Please see here for additional information.

RELATIONS

Resource: resources/relations_data/README.md

  • RelationsOnly: The knowledge graph has been built with a single set of edge relations.
  • InverseRelations: The knowledge graph has been built with the standard set of relations, and if available, the InverseObjectProperties of the standard relations. With one caveat - if the original standard relation is a type of interaction (e.g. interacts_with, molecularly interacts with) and the provided edge list is not symmetric (meaning both sides of the interaction are not included in the provided edge list), then the interaction-related relation will be reused to represent the missing interactions.

OWL SEMANTICS

Resource: OWL-NETS 2.0

  • OWL: The knowledge graph has not been filtered.
  • OWLNETS: The knowledge graph has been filtered to decode OWL-encoded classes and triples.

SEMANTIC CONSISTENCY

Resource: OWL-NETS 2.0
Currently, the program is configured to output the results from OWL-NETS in two ways: (1) run the program as-is or (2) run the program as-is with an additional step to "purify" the output by ensuring that the resulting OWL-NETS graph is completely consistent with the specified knowledge graph construction approach (i.e. subclass or instance-based). The "purified" output will include _SUBCLASS_purified_ or _INSTANCE_purified_ in the file names.


Knowledge Graph Data


Three different types of files are included in the table below:

  • Knowledge Graphs: The knowledge graph can be downloaded in two different formats (note that all BNodes or anonymous nodes have been converted to URIRefs under the pkt_bnode namespace (https://github.com/callahantiff/PheKnowLator/pkt/bnode/)):
    • RDFLib Graph serialized and saved in several formats:
      • Logic Only Subset (.nt; N-Triples) - contains all axioms not used to create annotations or annotation assertions
      • Annotations Only Subset (.nt; N-Triples) - only annotations or annotation assertions
      • Full Knowledge Graph (.nt; N-Triples) - Contains logic subset and annotations.
    • Networkx MultiDiGraph saved as an .gpickle file. Note that this representation includes keys for nodes and edges (node: key = URI; edge: predicate_key = MD5 hash of triple "s_uri" + "p_uri" + "o_uri"). Each edge also has a default weight of 0.0.
  • OWL-NETS Results: A pickled (.pickle) nested dictionary where each outer key is an anonymous node and the two inner keys contain: (1) a dictionary of owl-encoded triples and (2) a set of owl-decoded triples.
Details Files Triples Nodes Relations
Merged Ontology Data PheKnowLator_MergedOntologies.owl 13,740,214 5,460,874 349
RELATIONS
Subclass Construction OWL PheKnowLator_v2.0.0_full_subclass_relationsOnly_OWL.nt
PheKnowLator_v2.0.0_full_subclass_relationsOnly_OWL_AnnotationsOnly.nt
PheKnowLator_v2.0.0_full_subclass_relationsOnly_OWL_LogicOnly.nt
PheKnowLator_v2.0.0_full_subclass_relationsOnly_OWL_NetworkxMultiDiGraph.gpickle
69,722,287 20,727,369 347
OWL Decoded PheKnowLator_v2.0.0_full_subclass_relationsOnly_noOWL_OWLNETS.nt
PheKnowLator_v2.0.0_full_subclass_relationsOnly_noOWL_OWLNETS_NetworkxMultiDiGraph.gpickle
PheKnowLator_v2.0.0_full_subclass_relationsOnly_noOWL_OWLNETS_decoding_dict.pkl

Semantic Consistency
PheKnowLator_v2.0.0_full_subclass_relationsOnly_noOWL_SUBCLASS_purified_OWLNETS.nt
PheKnowLator_v2.0.0_full_subclass_relationsOnly_noOWL_SUBCLASS_purified_OWLNETS_NetworkxMultiDiGraph.gpickle
PheKnowLator_v2.0.0_full_subclass_relationsOnly_noOWL_SUBCLASS_purified_OWLNETS_decoding_dict.pkl
14,978,059




14,979,239
1,169,694




1,169,694
326




325
Instance Construction OWL PheKnowLator_v2.0.0_full_instance_relationsOnly_OWL.nt
PheKnowLator_v2.0.0_full_instance_relationsOnly_OWL_AnnotationsOnly.nt
PheKnowLator_v2.0.0_full_instance_relationsOnly_OWL_LogicOnly.nt
PheKnowLator_v2.0.0_full_instance_relationsOnly_OWL_NetworkxMultiDiGraph.gpickle
31,023,015 7,861,294 362
OWL Decoded PheKnowLator_v2.0.0_full_instance_relationsOnly_noOWL_OWLNETS.nt
PheKnowLator_v2.0.0_full_instance_relationsOnly_noOWL_OWLNETS_NetworkxMultiDiGraph.gpickle
PheKnowLator_v2.0.0_full_instance_relationsOnly_noOWL_OWLNETS_decoding_dict.pkl

Semantic Consistency
PheKnowLator_v2.0.0_full_instance_relationsOnly_noOWL_INSTANCE_purified_OWLNETS.nt
PheKnowLator_v2.0.0_full_instance_relationsOnly_noOWL_INSTANCE_purified_OWLNETS_NetworkxMultiDiGraph.gpickle
PheKnowLator_v2.0.0_full_instance_relationsOnly_noOWL_INSTANCE_purified_OWLNETS_decoding_dict.pkl
13,438,644




16,431,676
1,169,694




1,169,694
325




324
INVERSE RELATIONS
Subclass Construction OWL PheKnowLator_v2.0.0_full_subclass_inverseRelations_OWL.nt
PheKnowLator_v2.0.0_full_subclass_inverseRelations_OWL_AnnotationsOnly.nt
PheKnowLator_v2.0.0_full_subclass_inverseRelations_OWL_LogicOnly.nt
PheKnowLator_v2.0.0_full_subclass_inverseRelations_OWL_NetworkxMultiDiGraph.gpickle
80,083,419 23,317,651 347
OWL Decoded PheKnowLator_v2.0.0_full_subclass_inverseRelations_noOWL_OWLNETS.nt
PheKnowLator_v2.0.0_full_subclass_inverseRelations_noOWL_OWLNETS_NetworkxMultiDiGraph.gpickle
PheKnowLator_v2.0.0_full_subclass_inverseRelations_noOWL_OWLNETS_decoding_dict.pkl

Semantic Consistency
PheKnowLator_v2.0.0_full_subclass_inverseRelations_noOWL_SUBCLASS_purified_OWLNETS.nt
PheKnowLator_v2.0.0_full_subclass_inverseRelations_noOWL_SUBCLASS_purified_OWLNETS_NetworkxMultiDiGraph.gpickle
PheKnowLator_v2.0.0_full_subclass_inverseRelations_noOWL_SUBCLASS_purified_OWLNETS_decoding_dict.pkl
17,554,862




17,556,042
1,169,694




1,169,694
333




332
Instance Construction OWL PheKnowLator_v2.0.0_full_instance_inverseRelations_OWL.nt
PheKnowLator_v2.0.0_full_instance_inverseRelations_OWL_AnnotationsOnly.nt
PheKnowLator_v2.0.0_full_instance_inverseRelations_OWL_LogicOnly.nt
PheKnowLator_v2.0.0_full_instance_inverseRelations_OWL_NetworkxMultiDiGraph.gpickle
33,610,732 7,861,294 371
OWL Decoded PheKnowLator_v2.0.0_full_instance_inverseRelations_noOWL_OWLNETS.nt
PheKnowLator_v2.0.0_full_instance_inverseRelations_noOWL_OWLNETS_NetworkxMultiDiGraph.gpickle
PheKnowLator_v2.0.0_full_instance_inverseRelations_noOWL_OWLNETS_decoding_dict.pkl

Semantic Consistency
PheKnowLator_v2.0.0_full_instance_inverseRelations_noOWL_INSTANCE_purified_OWLNETS.nt
PheKnowLator_v2.0.0_full_instance_inverseRelations_noOWL_INSTANCE_purified_OWLNETS_NetworkxMultiDiGraph.gpickle
PheKnowLator_v2.0.0_full_instance_inverseRelations_noOWL_INSTANCE_purified_OWLNETS_decoding_dict.pkl
15,649,013




19,154,150
1,169,694




1,169,694
331




330

Edge List Output


Data: https://console.cloud.google.com/storage/browser/pheknowlator/archived_builds/release_v2.0.0

Three different types of files are included in the table below:

  • Integer Labels: a tab-delimited .txt file containing three columns, one for each part of a triple (i.e. subject, predicate, object). The subject, predicate, and object identifiers have been mapped to integers.
  • Identifier Labels: a tab-delimited .txt file containing three columns, one for each part of a triple (i.e. subject, predicate, object). Both the subject and object identifiers have not been mapped to integers.
  • Identifier-Integer Map: a .json file containing a dictionary where the keys are node identifiers and the values are integers.
Details Subclass Construction Instance Construction
RELATIONS
OWL PheKnowLator_v2.0.0_full_subclass_relationsOnly_OWL_Triples_Integers.txt
PheKnowLator_v2.0.0_full_subclass_relationsOnly_OWL_SUBCLASS_purified_Triples_Integers.txt
PheKnowLator_v2.0.0_full_instance_relationsOnly_noOWL_Triples_Integers.txt
PheKnowLator_v2.0.0_full_instance_relationsOnly_noOWL_INSTANCE_purified_Triples_Integers.txt
PheKnowLator_v2.0.0_full_subclass_relationsOnly_OWL_Triples_Identifiers.txt
PheKnowLator_v2.0.0_full_subclass_relationsOnly_OWL_SUBCLASS_purified_Triples_Identifiers.txt
PheKnowLator_v2.0.0_full_instance_relationsOnly_OWL_Triples_Identifiers.txt
PheKnowLator_v2.0.0_full_instance_relationsOnly_OWL_INSTANCE_purified_Triples_Identifiers.txt
PheKnowLator_v2.0.0_full_subclass_relationsOnly_OWL_Triples_Integer_Identifier_Map.json
PheKnowLator_v2.0.0_full_subclass_relationsOnly_OWL_SUBCLASS_purified_Triples_Integer_Identifier_Map.json
PheKnowLator_v2.0.0_full_instance_relationsOnly_OWL_Triples_Integer_Identifier_Map.json
PheKnowLator_v2.0.0_full_instance_relationsOnly_OWL_INSTANCE_purified_Triples_Integer_Identifier_Map.json
OWL Decoded PheKnowLator_v2.0.0_full_subclass_relationsOnly_noOWL_Triples_Integers.txt
PheKnowLator_v2.0.0_full_subclass_relationsOnly_noOWL_SUBCLASS_purified_Triples_Integers.txt
PheKnowLator_v2.0.0_full_instance_relationsOnly_noOWL_Triples_Integers.txt
PheKnowLator_v2.0.0_full_instance_relationsOnly_noOWL_INSTANCE_purified_Triples_Integers.txt
PheKnowLator_v2.0.0_full_subclass_relationsOnly_noOWL_Triples_Identifiers.txt
PheKnowLator_v2.0.0_full_subclass_relationsOnly_noOWLSUBCLASS_purified__Triples_Identifiers.txt
PheKnowLator_v2.0.0_full_instance_relationsOnly_noOWL_Triples_Identifiers.txt
PheKnowLator_v2.0.0_full_instance_relationsOnly_noOWL_INSTANCE_purified_Triples_Identifiers.txt
PheKnowLator_v2.0.0_full_subclass_relationsOnly_noOWL_Triples_Integer_Identifier_Map.json
PheKnowLator_v2.0.0_full_subclass_relationsOnly_noOWL_SUBCLASS_purified_Triples_Integer_Identifier_Map.json
PheKnowLator_v2.0.0_full_instance_relationsOnly_noOWL_Triples_Integer_Identifier_Map.json
PheKnowLator_v2.0.0_full_instance_relationsOnly_noOWL_INSTANCE_purified_Triples_Integer_Identifier_Map.json
INVERSE RELATIONS
OWL PheKnowLator_v2.0.0_full_subclass_inverseRelations_OWL_Triples_Integers.txt
PheKnowLator_v2.0.0_full_subclass_inverseRelations_OWL_SUBCLASS_purified_Triples_Integers.txt
PheKnowLator_v2.0.0_full_instance_inverseRelations_OWL_Triples_Integers.txt
PheKnowLator_v2.0.0_full_instance_inverseRelations_OWL_INSTANCE_purified_Triples_Integers.txt
PheKnowLator_v2.0.0_full_subclass_inverseRelations_OWL_Triples_Identifiers.txt
PheKnowLator_v2.0.0_full_subclass_inverseRelations_OWL_SUBCLASS_purified_Triples_Identifiers.txt
PheKnowLator_v2.0.0_full_instance_inverseRelations_OWL_Triples_Identifiers.txt
PheKnowLator_v2.0.0_full_instance_inverseRelations_OWL_INSTANCE_purified_Triples_Identifiers.txt
PheKnowLator_v2.0.0_full_subclass_inverseRelations_OWL_Triples_Integer_Identifier_Map.json
PheKnowLator_v2.0.0_full_subclass_inverseRelations_OWL_SUBCLASS_purified_Triples_Integer_Identifier_Map.json
PheKnowLator_v2.0.0_full_instance_inverseRelations_OWL_Triples_Integer_Identifier_Map.json
PheKnowLator_v2.0.0_full_instance_inverseRelations_OWL_INSTANCE_purified_Triples_Integer_Identifier_Map.json
OWL Decoded PheKnowLator_v2.0.0_full_subclass_inverseRelations_noOWL_Triples_Integers.txt
PheKnowLator_v2.0.0_full_subclass_inverseRelations_noOWL_SUBCLASS_purified_Triples_Integers.txt
PheKnowLator_v2.0.0_full_instance_inverseRelations_noOWL_Triples_Integers.txt
PheKnowLator_v2.0.0_full_instance_inverseRelations_noOWL_INSTANCE_purified_Triples_Integers.txt
PheKnowLator_v2.0.0_full_subclass_inverseRelations_noOWL_Triples_Identifiers.txt
PheKnowLator_v2.0.0_full_subclass_inverseRelations_noOWL_SUBCLASS_purified_Triples_Identifiers.txt
PheKnowLator_v2.0.0_full_instance_inverseRelations_noOWL_Triples_Identifiers.txt
PheKnowLator_v2.0.0_full_instance_inverseRelations_noOWL_INSTANCE_purified_Triples_Identifiers.txt
PheKnowLator_v2.0.0_full_subclass_inverseRelations_noOWL_Triples_Integer_Identifier_Map.json
PheKnowLator_v2.0.0_full_subclass_inverseRelations_noOWL_SUBCLASS_purified_Triples_Integer_Identifier_Map.json
PheKnowLator_v2.0.0_full_instance_inverseRelations_noOWL_Triples_Integer_Identifier_Map.json
PheKnowLator_v2.0.0_full_instance_inverseRelations_noOWL_INSTANCE_purified_Triples_Integer_Identifier_Map.json

Metadata Output


Data: https://console.cloud.google.com/storage/browser/pheknowlator/archived_builds/release_v2.0.0

Each file is a tab-delimited .txt file that contains the following columns:

  • entity_type (e.g. "NODES", "RELATIONS", or "NA" if not a owl:Class. owl:NamedIndividual, owl:ObjectProperty, or owl:AnnotationProperty)
  • integer_id (e.g. 1 - the integer used to represent this URI in the Edge List output)
  • entity_uri (e.g. "GO_0048252")
  • label (e.g. "lauric acid metabolic process")
  • description/definition (e.g. "The chemical reactions and pathways involving lauric acid, a fatty acid with the formula CH3(CH2)10COOH. Derived from vegetable sources.")
  • synonym (e.g. "lauric acid metabolism|n-dodecanoic acid metabolic process|n-dodecanoic acid metabolism")

NOTE. For knowledge graphs that do not employ OWL decoding, there will be entries with values of NA for entity_type. This is expected for these types of builds; a value of NA is used for all nodes and relations that are not an owl:Class, owl:NamedIndividual, or owl:ObjectProperty.

Example Metadata:

entity_type integer_id entity_uri label description/definition synonym
NODES 0 http://www.ncbi.nlm.nih.gov/gene/388324 INCA1 INCA1 has locus group 'protein-coding' and is located on chromosome 17 (map_location: 17p13.2) HSD45protein INCA1
NODES 1 http://www.ncbi.nlm.nih.gov/gene/92106 OXNAD1 OXNAD1 has locus group 'protein-coding' and is located on chromosome 3 (map_location: 3p25.1-p24.3) oxidoreductase NAD-binding domain-containing protein 1
RELATIONS 2 http://purl.obolibrary.org/obo/RO_0002533 sequence atomic unit Any individual unit of a collection of like units arranged in a linear order NA

Available Output Files:

Detail Subclass Construction Instance Construction
RELATIONS
OWL PheKnowLator_v2.0.0_full_subclass_relationsOnly_OWL_NodeLabels.txt
PheKnowLator_v2.0.0_full_subclass_relationsOnly_OWL_SUBCLASS_purified_NodeLabels.txt
PheKnowLator_v2.0.0_full_instance_relationsOnly_OWL_NodeLabels.txt
PheKnowLator_v2.0.0_full_instance_relationsOnly_OWL_INSTANCE_purified_NodeLabels.txt
OWL Decoded PheKnowLator_v2.0.0_full_subclass_relationsOnly_noOWL_NodeLabels.txt
PheKnowLator_v2.0.0_full_subclass_relationsOnly_noOWL_SUBCLASS_purified_NodeLabels.txt
PheKnowLator_v2.0.0_full_instance_relationsOnly_noOWL_NodeLabels.txt
PheKnowLator_v2.0.0_full_instance_relationsOnly_noOWL_INSTANCE_purified_NodeLabels.txt
INVERSE RELATIONS
OWL PheKnowLator_v2.0.0_full_subclass_inverseRelations_OWL_NodeLabels.txt
PheKnowLator_v2.0.0_full_subclass_inverseRelations_OWL_SUBCLASS_purified_NodeLabels.txt
PheKnowLator_v2.0.0_full_instance_inverseRelations_OWL_NodeLabels.txt
PheKnowLator_v2.0.0_full_instance_inverseRelations_OWL_INSTANCE_purified_NodeLabels.txt
OWL Decoded PheKnowLator_v2.0.0_full_subclass_inverseRelations_noOWL_NodeLabels.txt
PheKnowLator_v2.0.0_full_subclass_inverseRelations_noOWL_SUBCLASS_purified_NodeLabels.txt
PheKnowLator_v2.0.0_full_instance_inverseRelations_noOWL_NodeLabels.txt
PheKnowLator_v2.0.0_full_instance_inverseRelations_noOWL_INSTANCE_purified_NodeLabels.txt


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This project is licensed under Apache License 2.0 - see the LICENSE.md file for details. If you intend to use any of the information on this Wiki, please provide the appropriate attribution by citing this repository:

@misc{callahan_tj_2019_3401437,
  author       = {Callahan, TJ},
  title        = {PheKnowLator},
  month        = mar,
  year         = 2019,
  doi          = {10.5281/zenodo.3401437},
  url          = {https://doi.org/10.5281/zenodo.3401437}
}
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