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DisGeneFormer: Precise Disease Gene Prioritization by Integrating Local and Global Graph Attention

2026-03-14

Abstract excerpt

Identifying genes associated with human diseases is essential for effective diagnosis and treatment. Experimentally identifying disease-causing genes is time-consuming and expensive. Computational prioritization methods aim to streamline this process by ranking genes based on their likelihood of association with a given disease. However, existing methods often report long ranked lists consisting of thousands of po...

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Literature Corpus work
3c7db43c-d871-5af8-8162-be38fecd4b41
DOI
10.64898/2026.03.11.711106
Open publication

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DisGeneFormer: Precise Disease Gene Prioritization by Integrating Local and Global Graph AttentionDOI 10.64898/2026.03.11.711106
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