We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Data-driven modelling of signal-transduction networks.
- Authors
Janes, Kevin A; Yaffe, Michael B
- 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.
- Publication
Nature reviews. Molecular cell biology, 2006, Vol 7, Issue 11, p820
- ISSN
1471-0072
- Publication type
Journal Article
- DOI
10.1038/nrm2041