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A multi-omics data simulator for complex disease studies and its application to evaluate multi-omics data analysis methods for disease classification

26 Apr 2019

Abstract excerpt

BACKGROUND: An integrative multi-omics analysis approach that combines multiple types of omics data including genomics, epigenomics, transcriptomics, proteomics, metabolomics, and microbiomics has become increasing popular for understanding the pathophysiology of complex diseases. Although many multi-omics analysis methods have been developed for complex disease studies, only a few simulation tools that simulate...

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PMID: 31029063
DOI: 10.1093/gigascience/giz045

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