Dec - Michael Hallett¶
Speaker: Michael Hallett
Title of talk: Tools for Exploring Biological Networks
December 15, 2004
Affiliation: McGill Centre for Bioinformatics
This talk will present a probabilistic approach to investigating three problems related to biological networks:
the de novo inference of networks, the purification of existing networks and the use of these networks as predictors. Probabilistic models of biological networks are an important element of so-called “integrative bioinformatics” and allow us to test hypotheses by combining many heterogeneous types of information within a coherent statistical framework. A nice property of this framework is that we can assign a “belief” to each element of the putative network. We will show how our model is used in three different domains: the ER Associated Degradation pathway (ERAD), the TGF-beta pathway, and glucocorticoid receptor (GR) regulation.
Student Speaker: Alison Meynert, Bioinformatics Training Program for Health Research
Title of talk: Common Evidence Network: Investigating Medline co-citations of candidate disease genes
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