Data-driven modelling of signal-transduction networks - PubMed (original) (raw)
Review
doi: 10.1038/nrm2041.
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- PMID: 17057752
- DOI: 10.1038/nrm2041
Review
Data-driven modelling of signal-transduction networks
Kevin A Janes et al. Nat Rev Mol Cell Biol. 2006 Nov.
Abstract
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.
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