… The INS gene demonstrated the highest percentage of interconnectedness in the three
gene networks for T1D (1.59%), T2D (1.60%), and MODY (2.61%). In this analysis, all the …

… provide a brief historical overview of studies on c-Jun regulation and function, and use eyelid
development as an example to illustrate the complexity of c-Jun crosstalking with signaling …

… We consider a model of early events in signaling by the epidermal growth factor (EGF)
receptor (EGFR). The model includes EGF, EGFR, the adapter proteins Grb2 and Shc, and the …

… network learning algorithm to model proteomic signaling data for ES cell fate responses to
external cues. Using this model we were able to characterize the signaling … for 28 signaling …

… of an automatic analysis aimed to identify the gene signaling networks that … analysis is
usually referred to as a pathway analysis. A PubMed search for ‘microarrays and pathway analysis…

… Indeed, we believe our analysis yields insights into one way in which properties like robustness
and evolvability can simultaneously coexist. Soft modes show a property similar to that of …

… signaling pathways which is based on Qualitative networks, an extension of Boolean networks…
be modeled using Boolean networks and then define Qualitative networks. Interactions in …

… and their integration into signaling networks is still a major … a signaling network, we first
mapped the phosphorylation changes onto a weighted protein-protein interaction (PPI) network. …

… the approaches of subpathway analysis and SPIA, which we call sub-SPIA, to identify
biologically meaningful signaling pathways. One key problem in subpathway analysis is how to …

Computational models are increasingly used to analyze the operation of complex biochemical
networks, including those involved in cell signaling networks. Here we review recent …