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PREDICTING GENE DISEASE ASSOCIATIONS WITH KNOWLEDGE GRAPH EMBEDDINGS FOR DISEASES WITH CURTAILED INFORMATION

2024-01-15

Abstract excerpt

<h4>ABSTRACT</h4> Knowledge graph embeddings (KGE) are a powerful technique used in the biological domain to represent biological knowledge in a low dimensional space. However, a deep understanding of these methods is still missing, and in particular the limitations for diseases with reduced information on gene-disease associations. In this contribution, we built a knowledge graph (KG) by integrating heterogeneou...

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Literature Corpus work
8d6025a1-a70c-5ae6-bafa-d1e1f26bf12b
DOI
10.1101/2024.01.11.575314
Open publication

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PREDICTING GENE DISEASE ASSOCIATIONS WITH KNOWLEDGE GRAPH EMBEDDINGS FOR DISEASES WITH CURTAILED INFORMATIONDOI 10.1101/2024.01.11.575314
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