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Deep Learning–Based Multi-Omics Integration Robustly Predicts Survival in Liver Cancer

5 Oct 2017

Abstract excerpt

Abstract Identifying robust survival subgroups of hepatocellular carcinoma (HCC) will significantly improve patient care. Currently, endeavor of integrating multi-omics data to explicitly predict HCC survival from multiple patient cohorts is lacking. To fill this gap, we present a deep learning (DL)–based model on HCC that robustly differentiates survival subpopulations of patients in six cohorts. We built the...

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Share to Cholangiocarcinoma and Gallbladder Cancer Studies
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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 28982688
DOI: 10.1158/1078-0432.ccr-17-0853

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