Article

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

2018-09-26

Abstract excerpt

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, there is no simulation tool that simulates multiple ty...

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Literature Corpus work: f811c37d-787e-59b5-ae56-765f8cba6173
DOI: 10.1101/426510

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