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BRENDA Tissue Ontology (BTO) |
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======================================================================================================================== |
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Overview |
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-------- |
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A structured controlled vocabulary for the source of an enzyme comprising tissues, |
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cell lines, cell types and cell cultures. |
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:Domain: Medicine |
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:Category: Enzyme |
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:Current Version: 2021-10-26 |
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:Last Updated: 2021-10-26 |
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:Creator: None |
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:License: Creative Commons 4.0 |
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:Format: OWL |
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:Download: `BRENDA Tissue Ontology (BTO) Homepage <https://terminology.tib.eu/ts/ontologies/BTO>`_ |
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Graph Metrics |
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- **Total Nodes**: 37130 |
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- **Total Edges**: 86188 |
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- **Root Nodes**: 5619 |
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- **Leaf Nodes**: 21886 |
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Knowledge coverage |
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- Classes: 6569 |
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- Individuals: 0 |
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- Properties: 10 |
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Hierarchical metrics |
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- **Maximum Depth**: 7 |
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- **Minimum Depth**: 0 |
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- **Average Depth**: 1.37 |
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- **Depth Variance**: 0.68 |
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Breadth metrics |
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- **Maximum Breadth**: 16002 |
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- **Minimum Breadth**: 9 |
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- **Average Breadth**: 4411.62 |
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- **Breadth Variance**: 36150459.73 |
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Dataset Statistics |
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Generated Benchmarks: |
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- **Term Types**: 0 |
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- **Taxonomic Relations**: 5888 |
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- **Non-taxonomic Relations**: 0 |
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- **Average Terms per Type**: 0.00 |
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Usage Example |
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.. code-block:: python |
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from ontolearner.ontology import BTO |
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# Initialize and load ontology |
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ontology = BTO() |
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ontology.load("path/to/ontology.OWL") |
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# Extract datasets |
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data = ontology.extract() |
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# Access specific relations |
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term_types = data.term_typings |
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taxonomic_relations = data.type_taxonomies |
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non_taxonomic_relations = data.type_non_taxonomic_relations |
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