MODGRAPH
Probabilistic graphical models for integration of complex data and
discovery of causal models in biology
Satellite meeting of JOBIM'2009
Nantes, France
8 june 2009
University of Nantes - PolyTech'Nantes -
Computer Science Institute of Nantes-Atlantic (LINA)
UMR C.N.R.S. 6241
This meeting aims at providing an opportunity for researchers in
Bioinformatics, Computational Biology, Biology and Mathematics, to meet
and discuss the use of probabilistic graphical models to tackle problems
in the fields of Biology and Medical Research. Probabilistic graphical
models offer an adapted framework to infer knowledge from data whose
part is uncertain. Regarding the causality concept, these models have
proven useful to exhibit data dependencies, as well as predicting
experiment designs. Thus, the graphical model formalism is naturally the
core of a flourishing research field.
During the meeting, conferences and talks will cover a range of recent
developments and works under development, as well as applications, in
relation with machine learning and statistical inference performed in
the graphical model framework used for biology or biomedical research.
key-words : complex data-mining, probabilistic graphical models,
bayesian networks, statistical inference, data analysis
Invited speaker: Robert Castelo
Important dates:
submission:
* monday 16 february 2009 : opening date for submissions to satellite
meeting MODGRAPH
* monday 23 march 2009, 24:00: deadline submission to MODGRAPH
* saturday 28 march 2009 : notification to authors
registration (free):
* monday 16 february 2009 : opening date for registrations to satellite
meeting MODGRAPH
* monday 27 april 2009, 24:00 : deadline for registration to MODGRAPH
meeting:
* 8 june 2009, Nantes
For more details and to submit a communication:
http://www.lina.univ-nantes.fr/conf/modgraph
Organizers:
Florence d'Alché-Buc,
IBISC, Computer Science, Integrative Biology and Complex Systems, FRE
CNRS 2873, Genopole Evry - University of Evry-Val d'Essonne
Rémi Houlgatte,
the Thorax Institute, INSERM U915, Faculty of Medecine of the University
of Nantes
Louis Wehenkel,
Dep. of Electrical Engineering and Computer Science & GIGA-Research -
University of Liège – Belgium
Philippe Leray,
LINA UMR CNRS 6241, KOD (Knowledge and Decision Team) - University of
Nantes, Polytech’Nantes
Gérard Ramstein,
LINA UMR CNRS 6241, KOD (Knowledge and Decision Team) - Université de
Nantes, Polytech’Nantes
Christine Sinoquet,
LINA UMR CNRS 6241, (Knowledge and Decision Team) , University of
Nantes, Faculty of Sciences and Techniques
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