The 6th Workshop "Statistical methods for post-genomic data" will be held in Rennes, January 31st and February 1st, 2008.
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 performing 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 ...
Peter Green: Sparse latent factor analysis in post-genomic data fusion
Age Smilde: Analysing complex metabolomics data
Rainer Spang: Reconstructing Signalling Pathways using Nested Effects Models
Ernst Wit: Modelling transcription activation using microarray data