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
published: Aug. 5, 2008, recorded: May 2008, views: 4134
Slides
Related content
Report a problem or upload files
If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Description
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.
Link this page
Would you like to put a link to this lecture on your homepage?Go ahead! Copy the HTML snippet !
Write your own review or comment: