Article

KG2ML: Integrating Knowledge Graphs and Positive Unlabeled Learning for Identifying Disease-Associated Genes

2025-03-17

Abstract excerpt

<h4>Background</h4> Biomedical knowledge graphs (KGs), such as the Data Distillery Knowledge Graph (DDKG), capture known relationships among entities (e.g., genes, diseases, proteins), providing valuable insights for research. However, these relationships are typically derived from prior studies, leaving potential unknown associations unexplored. Identifying such unknown associations, including previously unknown...

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Literature Corpus work: 76790b5c-d15f-5571-b26e-0c613a8b2dda
DOI: 10.1101/2025.03.17.25323906

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