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Multi-platform Genomic Data Analysis Using Multimodal Autoencoder
DEStech Transactions on Computer Science and Engineering
Analyzing genomic expression profile is a significant way to identify cancer subtypes which can reveal insightful information of cancer pathogenesis and thus improve the prediction of patients' survival time. Many approaches have been developed to analyze the genomic data of different cancer subtypes; most of them, however, are only capable of analyzing the genomic data from a single platform, e.g., gene expression, miRNA expression, or DNA methylation. In this paper, we propose an unsuperviseddoi:10.12783/dtcse/cib2015/16153 fatcat:tobzn25rozalpdntu4nlwikqyu