Data-driven modelling of signal-transduction networks.

TitleData-driven modelling of signal-transduction networks.
Publication TypeJournal Article
Year of Publication2006
AuthorsJanes, KA, Yaffe, MB
JournalNat Rev Mol Cell Biol
Date Published2006 Nov
KeywordsCluster Analysis, Computer Simulation, Models, Biological, Regression Analysis, Signal Transduction, Systems Biology

New technologies are permitting large-scale quantitative studies of signal-transduction networks. Such data are hard to understand completely by inspection and intuition. 'Data-driven models' help users to analyse large data sets by simplifying the measurements themselves. Data-driven modelling approaches such as clustering, principal components analysis and partial least squares can derive biological insights from large-scale experiments. These models are emerging as standard tools for systems-level research in signalling networks.

Alternate JournalNat. Rev. Mol. Cell Biol.
PubMed ID17057752