Differential Equation Modeling Approach for Dynamic Regulatory Network
*Tao Lu, University at Albany
Keywords: ODE, Network
We had proposed a set of ordinary differential equations (ODE), coupled with dimensional reduction by clustering and mixed-effects modeling techniques, to model the dynamic gene regulatory networks (GRN). The ODE models allow us to quantify both positive and negative gene regulations as well as feedback effects of one set of genes in a functional module on the dynamic expression changes of the genes in another functional module, which results in a directed graph model. In this article, we applied the differential equation modeling method to construct a dynamic regulatory network based on a new data set of time course gene expression profiles for yeast cell cycles.
Important Dates & Deadlines
- October 9 - 11, 2013