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Survival stratification for colorectal cancer via multi-omics integration using an autoencoder-based model

14 Dec 2021

Abstract excerpt

Prognosis stratification in colorectal cancer helps to address cancer heterogeneity and contributes to the improvement of tailored treatments for colorectal cancer patients. In this study, an autoencoder-based model was implemented to predict the prognosis of colorectal cancer via the integration of multi-omics data. DNA methylation, RNA-seq, and miRNA-seq data from The Cancer Genome Atlas (TCGA) database were...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 34904882
DOI: 10.1177/15353702211065010

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