Article

FusionPath: Gene fusion pathogenicity prediction using protein structural data and contextual protein embeddings

2026-01-26

Abstract excerpt

Accurate prediction of gene fusion pathogenicity is critical for understanding oncogenic mechanisms and advancing precision oncology. While existing computational methods provide valuable insights, their performance remains limited by incomplete integration of multi-scale biological features and insufficient model interpretability for clinical translation. We present FusionPath, a novel deep learning framework for...

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Literature Corpus work: 3ae6a440-99c9-5b2f-b0f3-8b05fc2ad959
DOI: 10.64898/2026.01.24.701525

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