English: Feature coexpression networks can be based on multiple types of omics data. Coexpression networks from different data types (metatranscriptomics, metaproteomics, etc.) allow for a more refined understanding of how functions respond across expression levels. Questions that may be answered through this approach (as described in the box on the right) include which features (proteins, transcripts, metabolites, etc.) are coexpressed, the identity of keystone features central for system functioning, and relatedness among species or metabolic pathways. Furthermore, by gathering omics data from a system under different sets of conditions (e.g., climate change perturbations), one can visualize which aspects of the network shift and therefore how overall functioning will be impacted as a consequence of disturbance.