Back to search

Article

Uncertainty-aware graph representation learning with positive-unlabeled classification for biomarker discovery in peripheral artery disease

2026-05-13

Abstract excerpt

Peripheral artery disease (PAD) is a complex vascular disorder characterized by heterogeneous molecular mechanisms and incomplete functional annotation, limiting systematic biomarker discovery. Network-based learning approaches provide a powerful framework for disease gene prioritization; however, most existing methods produce overconfident predictions without explicitly accounting for model uncertainty or structu...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
c9ae483f-07b4-5b8a-96cf-34b75d31f5b4
DOI
10.64898/2026.05.08.723757
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Uncertainty-aware graph representation learning with positive-unlabeled classification for biomarker discovery in peripheral artery diseaseDOI 10.64898/2026.05.08.723757
Select a neighboring publication to make it the new centre.