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Gaussian process toolkit for modelling the dynamics of transcriptional regulation
This video was recorded at Workshop on Approximate Inference in Stochastic Processes and Dynamical Systems, Cumberland Lodge 2008. The complex dynamics of cells and tissues are regulated in part by networks of interacting genes and proteins. The structure of the interaction network dictates which genes are regulated by which transcription factors (TFs). Particularly, a number of experimental and computational methods have been proposed to explore the mechanisms of transcriptional regulation. A key problem with the analysis of transcription network is that the concentration of the activated TF is difficult to measure directly whereas the target mRNA quantities are relatively easy to obtain with a microarray. Therefore, we focus on the problem of inferring the transcription factor activity given the mRNA expression level data.
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This work is licensed under a Attribution-NonCommercial-NoDerivs 3.0 United States
