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Multi-omics studies, which explore the interactions between multiple types of biological factors, have significant advantages over single-omics analysis for their ability to provide a more holistic view of biological processes, uncover the causal and functional mechanisms for complex diseases, and facilitate new discoveries in precision medicine. However, omics datasets often contain missing values, and in multi-omics study designs it is common for individuals to be represented for some omicsdoi:10.3389/fgene.2020.570255 pmid:33193667 pmcid:PMC7594632 fatcat:wmc5ksg3bbhqrpt4xvbdnlryqm