Co-expression networks may well capture direct regulatory relationships, but these cannot be distinguished from indirect associations based on similarity of expression patterns. The result is often a series of many-to-many associations between genes with correlated expression in which the strongest associations are not necessarily those that are most relevant to understanding regulatory processes.
