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From the top down: towards a predictive biology of signalling networks
Jaroslav Stark1, Robin Callard, Michael Hubank
1Department of Mathematics, Imperial College London, London, UK SW7 2AZ. j.stark@imperial.ac.uk
Trends in Biotechnology
|July 3, 2003
Abstract:
True quantitative and predictive biology requires the ability to interpret increasingly complex datasets in new ways to reveal underlying functional interactions. This has come a step closer with two recent articles that describe a 'top-down' modelling approach to reconstructing functional networks from microarray data.