bio-ontology-research-group/DL2Vec
Convert Description Logic axioms into a graph, and generate embedding representation for the nodes.
This tool helps biomedical researchers analyze complex biological data by converting structured knowledge, like ontologies (OWL files) and entity associations, into a graph format. It then generates numerical representations (embeddings) for biological entities within this graph. Researchers can use these embeddings for tasks such as predicting gene-disease associations.
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Use this if you need to transform detailed biological knowledge represented in Description Logic ontologies into a format suitable for machine learning, specifically for generating entity embeddings.
Not ideal if you are looking for a plug-and-play solution for general data analysis outside of the biomedical ontology domain or if you prefer a graphical user interface.
Stars
19
Forks
3
Language
Python
License
GPL-3.0
Category
Last pushed
Mar 05, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/bio-ontology-research-group/DL2Vec"
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