Background#R##N#The immune response to viral infection is a temporal process, represented by a dynamic and complex network of gene and protein interactions. Here, we present a reverse engineering strategy aimed at capturing the temporal evolution of the underlying Gene Regulatory Networks (GRN). The proposed approach will be an enabling step towards comprehending the dynamic behavior of gene regulation circuitry and mapping the network structure transitions in response to pathogen stimuli.
['Konstantina Dimitrakopoulou', 'Charalampos Tsimpouris', 'George Papadopoulos', 'Claudia Pommerenke', 'Esther Wilk', 'Kyriakos N. Sgarbas', 'Klaus Schughart', 'Anastasios Bezerianos']
Dynamic gene network reconstruction from gene expression data in mice after influenza A (H1N1) infection.