Computational approaches to the integration of gene expression, ChIP-chip and sequence data in the inference of gene regulatory networks
Cooke, Emma J., Savage, Richard S. and Wild, David L. (2009) Computational approaches to the integration of gene expression, ChIP-chip and sequence data in the inference of gene regulatory networks. Seminars in Cell and Developmental Biology, Vol.20 (No.7). pp. 863-868. ISSN 1084-9521Full text not available from this repository.
Official URL: http://dx.doi.org/10.1016/j.semcdb.2009.08.004
A major challenge in systems biology is the ability to model complex regulatory interactions, such as gene regulatory networks, and a number of computational approaches have been developed over recent years to address this challenge. This paper reviews a number of these approaches, with a focus on probabilistic graphical models and the integration of diverse data sets, such as gene expression and transcription factor binding site location and activity. (C) 2009 Elsevier Ltd. All rights reserved.
|Item Type:||Journal Item|
|Subjects:||Q Science > QH Natural history > QH301 Biology|
|Divisions:||Faculty of Science > Molecular Organisation and Assembly in Cells (MOAC)
Faculty of Science > Centre for Systems Biology
|Journal or Publication Title:||Seminars in Cell and Developmental Biology|
|Publisher:||Elsevier Science Ltd. / Academic Press Ltd.|
|Number of Pages:||6|
|Page Range:||pp. 863-868|
|Access rights to Published version:||Restricted or Subscription Access|
|Funder:||Engineering and Physical Sciences Research Council (EPSRC), EU Marie-Curie IRG Fellowship|
|Grant number:||EP/F027400/1 (EPSRC), 46444|
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