Gaussian process toolkit for modelling the dynamics of transcriptional regulation

author: Pei Gao, School of Computer Science, University of Manchester
published: Aug. 5, 2008,   recorded: May 2008,   views: 4134


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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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