Lecture
Constructing gene regulatory networks
Speaker: |
Jochen Supper |
Date: |
Tuesday, 3 July 2007 |
Time: |
10:30-11:30 |
Location: |
Right seminar room, 2nd floor Building C, FORTH. Heraklion, Crete |
Host: |
Martin Reczko |
| Abstract: |
Inferring the structure of
gene regulatory networks from gene expression data has attracted
a growing interest during the last years. Several machine learning
related methods, such as Bayesian networks, have been proposed
to deal with this challenging problem. However, in many cases,
network reconstructions purely based on gene expression data do
not lead to satisfactory results when comparing the obtained topology
against a validation network. Therefore, in this paper we propose an "inverse" approach: Starting from a priori specified network topologies, we identify those parts of the network which are relevant for the gene expression data at hand. For this purpose, we predict the expression level of a given gene from its relevant regulators. |
| Bio: |
Jochen Supper is a research
assistant at the Centre for Bioinformatics (ZBIT), University
of Tu"bingen. He is interested in deciphering regulatory signals
controlling gene expression, analyzing the robustness of Signaling
pathways, cluster multi-conditioned microarray datasets and immunoinformatics. For more information please have a look at his web site: http://www-ra.informatik.uni-tuebingen.de/mitarb/supper/welcome_e.html |
