Workshop: Statistical methods for post-genomic data, Rennes, 01-31 and 02-01, 2008

6^th Workshop: Statistical methods for post-genomic data
Atelier : Méthodes statistiques pour données post-génomiques

Rennes, January 31st and February 1st, 2008

Welcome

Committee

Submission

Registration

Program

Practical information

Program

The invited speakers will give a one-hour talk and short talks will last about 20 minutes (including questions).

Invited Speakers

Peter Green - Sparse latent factor analysis in post-genomic data fusion
Rainer Spang - Reconstructing Signalling Pathways using Nested Effects Models - slides
Ernst Wit - Modelling transcription activation using microarray data - slides
Age Smilde - Analysing complex metabolomics data - slides

Thursday, January the 31st, 2008 - Pictures

8h45	9h15	Welcome
9h15	9h30	Opening session
9h30	10h30	Invited conference - Rainer Spang Reconstructing Signalling Pathways using Nested Effects Models - slides
10h30	11h00	Tea/Coffee break
11h00	12h40	Session 1 - Inferring biological networks Nonlinear stochastic differential equations method to infer gene regulatory networks architecture - slides A. Climescu-Haulika & M. Quirk Multiple views on learning biological networks - slides F. D'Alché-Buc Graphical Gaussian modelling to infer networks from post-genomic data - slides B. Schaeffer, F. Villers and S. Huet XRegPath: semi-automated inference of regulatory patterns using perturbed data - slides N. Touleimat, F. Zehraoui, M. Dutreix & F. D'Alché-Buc Tests for Gaussian graphical models - slides F. Villers
12h40	14h00	Lunch
14h00	15h00	Invited conference - Ernst Wit Modelling transcription activation using microarray data - slides
15h00	15h30	Tea/coffee break
15h30	17h50	Session 2 - Kinetics analysis of gene expression data Gene expression patterns in bovine extra-embryonic tissues before placentation S. Degrelle, K.-A. Lê Cao, C. Delmas, G. Caraux, E. Campion, C. Ducroix-Crépy, R. Everts, Y. Heyman, X. Yang, H. Lewin, J.-P. Renard, C. Robert-Granié & I. Hue Highlighting relations between two sets of temporal profiles - slides S. Déjean, P. Martin, I. González & A. Baccini Shrinkage of covariance matrices for time course differential gene expression studies - slides G. Marot, J.-L. Foulley & F. Jaffrézic Kinetics analysis of microarray data: modelling and clustering of gene expression profiles - slides C. Robert-Granié, S. déjean, L. Liaubet, P.-G.-P. Martin & M. San Cristobal
18h00		Refreshment

Friday, February the 1st, 2008 - Pictures

9h00	9h30	Tea/Coffee
9h30	10h30	Invited conference - Peter Green Sparse latent factor analysis in post-genomic data fusion
10h30	11h00	Tea/Coffee Break
11h00	12h30	Session 3 - Dependence in gene expression data Simultaneous clustering and variable selection with respect to correlation - slides J.-L. Dortet-Bernardet & Y. Fan Accounting for a factor structure in high-dimensional data to improve multiple testing procedures - slides C. Friguet, M. Kloareg & D. Causeur Comparison of Multiple Factor Analysis and Generalized Canonical Analysis in the framework of Omics data - slides S. Lê, M. de Tayrac, M. Aubry, J. Mosser & F. Husson A sparse method to handle two high-dimensional symmetric data sets - slides K.-A. Lê Cao, P. Martin, C. Robert-Granié & P. Besse
12h30	14h00	Lunch
14h00	15h00	Invited conference - Age Smilde Analysing complex metabolomics data - slides
15h00	15h20	Tea/Coffee Break
15h20	16h40	Session 4 - Recent advances in normalization and differential analysis Normalization for triple-target microarray experiments - slides M.-L. Martin-Magniette, J. Aubert, A. Bar-Hen, S. Elftieh, F. Magniette, J.-P. Renou & J.-J. Daudin ChIPmix: Mixture model of regressions for ChIP-chip experiment analysis - slides C. Bérard, M.-L. Martin-Magniette, T. Mary-Huard & S. Robin Statistical methodology for the analysis of dye-switch microarray experiments - slides T.Mary-Huard, J. Aubert, N. Mansouri-Attia, O. Sandra & J.-J. Daudin kerfdr: a semi-parametric kernel-based approach to local False Discovery Rate estimations - slides M. Guedj, A. Célisse, G. Nuel & S. Robin Consensus NMF: a unified approach to two-sided testing of microarray data - slides P. Fogel & S. S. Young
16h40	17h00	Closing session

Laboratoire de Mathématiques Appliquées Agrocampus Rennes, IRMAR UMR 6625 CNRS