Inferring gene regulatory networks by integrating static and dynamic data.

posted in: Updates in Informatics | 0

CONCLUSIONS: An approach able to integrate several sources of information is needed to infer gene regulatory networks, as a fully data-driven search is in general prone to overfitting and to unidentifiability problems. The learned networks encode hypotheses on regulatory relationships that need to be verified by means of wet-lab experiments.
PMID: 17825607 [PubMed – as supplied by publisher] (Source: International Journal of Medical Informatics).