To fully realize the benefits of high-throughput post-genomic technologies it is necessary to reconstruct and analyse the complicated network of interactions through which most genes operate. We briefly summarize the mathematical frameworks that can be used to model such networks, and the types of algorithms available for their reconstruction. We then focus on dynamic models, typically described using differential equations, and explain the two main reconstruction approaches in current use. We discuss the data requirements of these algorithms and ask how well they correspond to current microarray data.
Conference Article| December 01 2003
Reconstructing gene networks: what are the limits?
J. Stark 1
*Department of Mathematics, Imperial College London, London SW7 2AZ, U.K.
†Institute of Child Health, University College London, 30 Guilford Street, London WC1N 1EH, U.K.
1To whom correspondence should be addressed, at the Department of Mathematics, Imperial College London (e-mail firstname.lastname@example.org).
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Biochem Soc Trans (2003) 31 (6): 1519–1525.
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J. Stark, D. Brewer, M. Barenco, D. Tomescu, R. Callard, M. Hubank; Reconstructing gene networks: what are the limits?. Biochem Soc Trans 1 December 2003; 31 (6): 1519–1525. doi: https://doi.org/10.1042/bst0311519
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