Computational approaches to the integration of gene expression, ChIP-chip and sequence data in the inference of gene regulatory networks.
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.
Cooke
Emma J
EJ
MOAC Doctoral Training Centre, University of Warwick, Coventry CV4 7AL, UK.
Savage
Richard S
RS
Wild
David L
DL
D047369:Chromatin Immunoprecipitation / Q000379:methods*; D015870:Gene Expression; D053263:Gene Regulatory Networks; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D017422:Sequence Analysis, DNA / Q000379:methods*; D049490:Systems Biology / Q000379:methods*