Understanding Gene Regulatory Networks and Their Variations
published: Jan. 19, 2010, recorded: December 2009, views: 1280
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.
A key biological question is to uncover the regulatory networks in a cellular system and to understand how this network varies across individuals, cell types, and environmental conditions. In this talk I will describe work that uses machine learning techniques to reconstruct gene regulatory networks from gene expression data. Specifically, we exploit novel forms of Bayesian regularized regression to enable transfer between multiple related learning problems, such as between different individuals or between different cell types. We demonstrate applications in two domains: understanding the effect of individual genetic variation on gene regulation and its effect on phenotypes including human disease; and understanding the regulatory mechanisms underling immune system cell differentiation.
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !