Gaussian Process Model for Inferring the Regulatory Activity of Transcription Factor Proteins
published: Feb. 25, 2007, recorded: June 2006, views: 136
Report a problem or upload filesIf 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.
Inferring the concentration of transcription factors' proteins from the expression levels of target genes is a very active area of research in computational biology. Usually, the dynamics of the gene expression levels are modelled using differential equations where the transcription factor protein concentrations are treated as parameters, subsequently estimated using MCMC. We show how this inference problem can be solved more elegantly by placing a GP prior over the latent functions, obtaining comparable results to the standard MCMC approach in a fraction of the time.
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !