DynSig: Modelling Dynamic Signaling Alterations along Gene Pathways for Identifying Differential Pathways.Although a number of methods have been proposed for identifying differentially expressed pathways (DEPs), few efforts consider the dynamic components of pathway networks, i.e., gene links.  We here propose a signaling dynamics detection method for identification of DEPs, DynSig, which detects the molecular signaling changes in cancerous cells along pathway topology.  Specifically, DynSig relies on gene links, instead of gene nodes, in pathways, and models the dynamic behavior of pathways based on Markov chain model (MCM).  By incorporating the dynamics of molecular signaling, DynSig allows for an in-depth characterization of pathway activity. 
DynSig
DynSig: Modelling Dynamic Signaling Alterations along Gene Pathways for Identifying Differential Pathways.Although a number of methods have been proposed for identifying differentially expressed pathways (DEPs), few efforts consider the dynamic components of pathway networks, i.e., gene links.  We here propose a signaling dynamics detection method for identification of DEPs, DynSig, which detects the molecular signaling changes in cancerous cells along pathway topology.  Specifically, DynSig relies on gene links, instead of gene nodes, in pathways, and models the dynamic behavior of pathways based on Markov chain model (MCM).  By incorporating the dynamics of molecular signaling, DynSig allows for an in-depth characterization of pathway activity. 
DynSig