title: Reconstructing gene networks: what are the limits?
abstract: 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.
authors.affiliation: Department of Mathematics, Imperial College London, London SW7 2AZ, U.K. jaroslav.stark@imperial.ac.uk
authors.forename: J
authors.initials: J
authors.lastname: Stark
authors.forename: D
authors.initials: D
authors.lastname: Brewer
authors.forename: M
authors.initials: M
authors.lastname: Barenco
authors.forename: D
authors.initials: D
authors.lastname: Tomescu
authors.forename: R
authors.initials: R
authors.lastname: Callard
authors.forename: M
authors.initials: M
authors.lastname: Hubank
mesh_terms: D005796:Genes; D008433:Mathematics; D008962:Models, Theoretical; D015203:Reproducibility of Results