A network-based pathway-extending approach using DNA methylation and gene expression data to identify altered pathways.
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ABSTRACT: Pathway analysis allows us to gain insights into a comprehensive understanding of the molecular mechanisms underlying cancers. Currently, high-throughput multi-omics data and various types of large-scale biological networks enable us to identify cancer-related pathways by comprehensively analyzing these data. Combining information from multidimensional data, pathway databases and interaction networks is a promising strategy to identify cancer-related pathways. Here we present a novel network-based approach for integrative analysis of DNA methylation and gene expression data to extend original pathways. The results show that the extension of original pathways can provide a basis for discovering new components of the original pathway and understanding the crosstalk between pathways in a larg
SUBMITTER: Li J
PROVIDER: S-EPMC6694157 | biostudies-literature | 2019 Aug
REPOSITORIES: biostudies-literature
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