G-network modelling based abnormal pathway detection in gene regulatory networks
Please cite this item using this persistent URLhttp://hdl.handle.net/11693/28121
Computer and Information Sciences II - 26th International Symposium on Computer and Information Sciences, ISCIS 2011
- Conference Paper 
Gene expression centered gene regulatory networks studies can provide insight into the dynamics of pathway activities that depend on changes in their environmental conditions. Thus we propose a new pathway analysis approach to detect differentially behaving pathways in abnormal conditions based on G-network theory. Using this approach gene regulatory network model parameters are estimated from normal and abnormal samples using optimization techniques with corresponding constraints. We show that in a "p53 network" application, the proposed method effectively detects anomalous activated/inactivated pathways related with MDM2, ATM/ATR and RB1 genes, which could not be observed from previous analyses of gene regulatory network normal and abnormal behaviour. © 2012 Springer-Verlag London Limited.