Abstract

Systems virology integrates host-directed approaches with molecular profiling to understand viral pathogenesis. Self-contained statistical approaches that combine expression profiles of genes with the available databases defining the genes involved in the pathways have allowed characterization of predictive gene-signatures associated with outcome of the influenza virus infection. However, such enrichment techniques do not take into account interactions among pathways that are responsible for the IV infection pathogenesis. Thus, this paper integrates pathway analysis tools with the dynamic modeling approaches to reveal the regulation between signaling pathways and transcription factors using genome-wide transcriptional profiles measured upon influenza infection.