Reference : Looking for applications of mixtures of Markov trees in bioinformatics

	Document type :	Scientific conferences in universities or research centers : Scientific conference in universities or research centers
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/2268/87686

Title :	Looking for applications of mixtures of Markov trees in bioinformatics
Language :	English
Author, co-author :	Schnitzler, François [Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation >]
	Geurts, Pierre [Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation >]
	Wehenkel, Louis [Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation >]
Publication date :	21-Mar-2011
Page number :	A0
Audience :	National
Event name :	BioMAGNet Annual Meeting 2011
Event place (city) :	Bruxelles
Event country :	Belgium
Keywords :	[en] bayesian networks ; mixture of trees ; Markov trees
Abstract :	[en] Probabilistic graphical models (PGM) efficiently encode a probability distribution on a large set of variables. While they have already had several successful applications in biology, their poor scaling in terms of the number of variables may make them unfit to tackle problems of increasing size. Mixtures of trees however scale well by design. Experiments on synthetic data have shown the interest of our new learning methods for this model, and we now wish to apply them to relevant problems in bioinformatics.
Research units :	Systèmes et Modélisation
Funders :	Fonds pour la formation à la Recherche dans l'Industrie et dans l'Agriculture (Communauté française de Belgique) - FRIA ; Biomagnet IUAP network of the Belgian Science Policy Office ; Pascal2 network of excellence of the EC
Target :	Researchers
Permalink :	http://hdl.handle.net/2268/87686

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	Fulltext file(s): File Commentary Version Size Access Open access poster3.pdf Publisher postprint 419.97 kB View/Open Additional material(s): File Commentary Version Size Access Open access abstract_template_BioMAgnet_AGM_Brussels_2011.pdf - 43.72 kB View/Open

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