Article

XG-PUL: A Network-Based Framework for Disease Gene Prioritization Using Graph Representation Learning and Positive-Unlabeled Learning

2026-08-12

Abstract excerpt

<title>Abstract</title> <p>Identifying disease-associated genes through experimental approaches remains costly and time-consuming. Computational approaches based on biological networks provide an effective alternative for disease gene prioritization and disease module identification. However, existing machine learning methods often require reliable negative examples, whereas in disease gene prioritization only a...

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Literature Corpus work: f5424f04-c5e2-507a-aa4c-5a2ba307f6ff
DOI: 10.21203/rs.3.rs-10423323/v1

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