Abstract
Network-based approach is rapidly emerging as a promising strategy to integrate and interpret different -omics datasets, including metabolomics. The first section of this chapter introduces the current progresses and main concepts in multi-omics integration. The second section provides an overview of the public resources available for creation of biological networks. The third section describes three common application scenarios including subnetwork identification, network-based enrichment analysis, and systems metabolomics. The section four introduces the concept of hierarchical community network analysis. The section five discusses different tools for network visualization. The chapter ends with a future perspective on multi-omics integration.
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Acknowledgments
This work has been funded in part by the US National Institutes of Health via grants UH2 AI132345 (Li), R01 GM124061 (Yu), U2C ES030163 (Jones, Li, Morgan, Miller), U01 CA235493 (Li, Xia, Siuzdak), Genome Canada, Genome Quebec, and Canada Research Chairs program.
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Zhou, G., Li, S., Xia, J. (2020). Network-Based Approaches for Multi-omics Integration. In: Li, S. (eds) Computational Methods and Data Analysis for Metabolomics. Methods in Molecular Biology, vol 2104. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-0239-3_23
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