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Bidirectional Deep Neural Networks to Integrate RNA and DNA Data for Predicting Outcome for Patients with Hepatocellular Carcinoma

10 Aug 2021

Abstract excerpt

Aims: Individualized patient profiling is instrumental for personalized management in hepatocellular carcinoma (HCC). This study built a model based on bidirectional deep neural networks (BiDNNs), an unsupervised machine-learning approach, to integrate multi-omics data and predict survival in HCC. Methods: DNA methylation and mRNA expression data for HCC samples from the The Cancer Genome Atlas database were...

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PMID: 34374301
DOI: 10.2217/fon-2021-0659

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