MOTA: Network-Based Multi-Omic Data Integration for Biomarker Discovery.

ABSTRACT: The recent advancement of omic technologies provides researchers with the possibility to search for disease-associated biomarkers at the system level. The integrative analysis of data from a large number of molecules involved at various layers of the biological system offers a great opportunity to rank disease biomarker candidates. In this paper, we propose MOTA, a network-based method that uses data acquired at multiple layers to rank candidate disease biomarkers. The networks constructed by MOTA allow users to investigate the biological significance of the top-ranked biomarker candidates. We evaluated the performance of MOTA in ranking disease-associated molecules from three sets of multi-omic data representing three cohorts of hepatocellular carcinoma (HCC) cases and controls with liver

SUBMITTER: Fan Z 

PROVIDER: S-EPMC7241240 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature