Graph-based semi-supervised learning with genomic data integration using condition-responsive genes applied to phenotype classification.

Abstract excerpt

Objective: Data integration methods that combine data from different molecular levels such as genome, epigenome, transcriptome, etc., have received a great deal of interest in the past few years. It has been demonstrated that the synergistic effects of different biological data types can boost learning capabilities and lead to a better understanding of the underlying interactions among molecular levels. Methods:...

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