Graph-based semi-supervised learning with genomic data integration using condition-responsive genes applied to phenotype classification.
Journal:
Journal of the American Medical Informatics Association : JAMIA
Published Date:
Jan 1, 2018
Abstract
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.