Graph-based semi-supervised learning with genomic data integration using condition-responsive genes applied to phenotype classification
Conclusions: Simulation results demonstrate that integrating various data types enhances classification performance and leads to a better understanding of interrelations between diverse omics data types. The proposed approach outperforms many of the state-of-the-art data integration algorithms.
Source: Journal of the American Medical Informatics Association - Category: Information Technology Source Type: research
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