Article

The effects of biological knowledge graph topology on embedding-based link prediction

2024-06-11

Abstract excerpt

Due to the limited information available about rare diseases and their causal variants, knowledge graphs are often used to augment our understanding and make inferences about new gene-disease connections. Knowledge graph embedding methods have been successfully applied to various biomedical link prediction tasks but have yet to be adopted for rare disease variant prioritization. Here, we explore the effect of know...

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Literature Corpus work: ab531bdf-4ae2-56c8-a98f-e2cad3268612
DOI: 10.1101/2024.06.10.598277

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