6th Workshop: Statistical methods for post-genomic data Atelier : Méthodes statistiques pour données post-génomiques Rennes, January 31st and February 1st, 2008 New deadline for submission of abstracts : December 15th 2007 Following the five meetings held in March 2004 (INAPG, Paris), November 2004 (CIRM, Luminy), April 2005 (INAPG, Paris), March 2006 (INSA, Toulouse) and January 2007 (ENS, Paris), a two days workshop on the Statistical Methods for Post-genomic data will take place on January, 31st and February, 1st, 2008 at Agrocampus Rennes 65 rue de Saint-Brieuc CS 84215 - 35042 Rennes cedex This workshop will focus on statistical methods dedicated to post-genomic data such as transcriptome, proteome... High flow experimental methods aim at identifying the genes functions and their links with a biological process. Statistics and mathematics are useful for providing performant methods for the differential analysis of micro-array data and electrophoresis images and for modelling networks using multiple genomic data. The subjects of interest are the following: mixing models, multiple testing, estimation and variables selection, Bayesian methods, random effects models, kernels methods, classification (supervised or not), change point estimation ... Committee Submission Registration Program Practical information Invited speakers Peter Green - Bayesian inference in complex stochastic systems, Markov chain Monte Carlo methodology, statistical genomics, especially gene expression analysis, spatial statistics and image analysis Rainer Spang - Reverse engineering of complex biological systems, Hight throughput intervention data, Diagnosis of cancer based on molecular profiles, Bioinformatics, Machine Learning and Statistics Ernst Wit - Statistical bioinformatics, Experimental design, Systems biology, Foundations of statistics, Hidden Markov models, Computational biology Age Smilde - Multiway data analysis, High dimensional analysis of variance.

Maintained by David Causeur - Last modified, October 31st 2007

Laboratoire de Mathématiques Appliquées Agrocampus Rennes, IRMAR UMR 6625 CNRS