Article

Interpretable Deep Learning-Based Multi-Omics Integration for Prognosis in Hepatocellular Carcinoma

2026-04-05

Abstract excerpt

Hepatocellular carcinoma (HCC) is a leading cause of cancer mortality worldwide, yet existing prognostic models incompletely capture its molecular heterogeneity. We developed an interpretable, attention-based multi-branch deep learning framework for multi-omics survival prediction in HCC. Using 358 TCGA LIHC patients with matched mRNA expression, miRNA expression, and DNA methylation data, we first reproduced the...

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Literature Corpus work: c488cfe9-3749-584a-91b8-f8a4855c7c78
DOI: 10.64898/2026.04.01.715980

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