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From Black Box to Biological Insight: AttentioFuse Unlocks Multi-Omics Dynamics in Lung Cancer

2025-07-26

Abstract excerpt

Lung adenocarcinoma (LUAD) and squamous cell carcinoma (LUSC), the major subtypes of non-small cell lung cancer (NSCLC), exhibit distinct molecular landscapes that demand precision in prognosis and therapy. While deep learning models achieve high predictive accuracy, their “black-box” nature limits clinical translation. To address this, we propose AttentioFuse, an interpretable deep learning framework employing a...

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Identifiers and source

Literature Corpus work
bb7b277e-2d11-5cd7-a838-11231f21353b
DOI
10.1101/2025.07.23.665084
Open publication

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From Black Box to Biological Insight: AttentioFuse Unlocks Multi-Omics Dynamics in Lung CancerDOI 10.1101/2025.07.23.665084
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