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. Author manuscript; available in PMC: 2019 Jun 10.
Published in final edited form as: Methods Mol Biol. 2018;1849:227–242. doi: 10.1007/978-1-4939-8728-3_15

Figure 1: Overview of transkingdom network analysis.

Figure 1:

Omics data for multiple data types (e.g. microbial, gene expression, etc.) are analyzed to identify differentially abundant elements (e.g. microbes, genes, etc.). For each group (e.g. treatment or control) co-expression networks are constructed for each data type followed by the identification of dense sub-networks (modules). Calculating correlations between module elements of the different data types creates the “transkingdom” network. Network interrogation of the transkingdom network allows identification of causal members and regulatory relationships.