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posted on 2021-08-10, 11:16 authored by Guojun Huang, Wang Cheng, Fu Xi|
Supplementary Figure 1. Bidirectional deep neural networks to integrate RNA and DNA data for predicting outcome of hepatocellular carcinoma patients Kaplan-Meier curves for the two risk subgroups by the classification model based on raw methylation features (A) or raw mRNA features (B). |
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BiDNNsmultimodal autoencodersmulti-omics integrationsurvivalmethylationpersonalized cancer managementindividualized patient profilingunsupervised machine learningGene Expression (incl. Microarray and other genome-wide approaches)GenomicsQuantitative Genetics (incl. Disease and Trait Mapping Genetics)Cancer GeneticsSolid Tumours
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