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An Information Fusion System-Driven Deep Neural Networks With Application to Cancer Mortality Risk Estimate

20 Dec 2023

Abstract excerpt

Next-generation sequencing (NGS) genomic data offer valuable high-throughput genomic information for computational applications in medicine. Using genomic data to identify disease-associated genes to estimate cancer mortality risk remains challenging regarding to computational efficiency and risk integration. For determining mortality-related genes, we propose an information fusion system based on a fuzzy system...

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PMID: 38117627
DOI: 10.1109/tnnls.2023.3342462

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