Post-Genomics Blog

Forging a connection between research and clinical applications.

6th Workshop: Statistical methods for post-genomic data

6th Workshop: Statistical methods for post-genomic data

January, 31st and February, 1st, 2008

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 …

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