Molpage Training


Statistical Analysis of Metabonomic and Proteomic Data		MolPAGE

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Programme

Sunday – 25 March 2007

15.00:17.00	Registration

Monday – 26 March 2007

Metabonomics I – Basics
9.00:9.10	Introduction	Luisa Bernardinelli
9.10:10.00	Introduction to metabonomics: principles and historical perspectives	Richard Barton
10.00:11:00	NMR data in Metabonomics	Anthony Maher
11.00:11.20	Coffee break
11.20:12.20	Specificity of MS-based metabonomic data	Cinzia Stella
12.30:13.45	Lunch
13.50:15:00	Overview - Basic Pattern Recognition	Richard Barton
15.00:16.00	Introduction to Multivariate Projection Methods	Mark Earll Richard Barton Marc-Emmanuel Dumas
16.00:16.15	Coffee break
16.15:18.00	Practicals at computer Tips,Tricks and Traps	Mark Earll Richard Barton Marc-Emmanuel Dumas

Tuesday – 27 March 2007

Metabonomics II – Advanced
9.00:10.00	Validation of Multivariate Methods and Robustness	Mark Earll
10.00:10.30	Practical aspects of NMR data processing	Marc-Emmanuel Dumas
10.30:11.10	Alignment and Warping - Solving the correspondence problem for metabonomics data sets	Magnus Åberg
11.10:11.30	Coffee break
11.30:12.10	Metabonomics as a Driving Force in Post-Genomic Data Integration	Marc-Emmanuel Dumas
12.10:12.50	Multivariate approaches to integration of Metabonomic and Proteomic data	Mattias Rantalainen
13.00:14.20	Lunch
14.30:16.00	Practicals at computer on data processing	Mark Earll Richard Barton Marc-Emmanuel Dumas
16.00:16.15	Coffee break
16.15:18.00	Practicals at computer on data analysis	Mark Earll Richard Barton Marc-Emmanuel Dumas

Wednesday – 28 March 2007

Proteomics Basic
9.00:10.00	Data collection and analysis for high-throughput quantitative proteomics: current status and challenges	Paul Eilers
10.00:11.00	Experimental design, measurement errors and data transformation for Proteomics and Metabonomics data	Paul Eilers
11.00:11.20	Coffee break
11.20:12.30	Statistical significance for peptide identification by tandem mass spectrometry	Nathan Edwards
12.30:13:45	Lunch
14.00:14.50	Lessons from MolPAGE on analysis of proteomics and metabonomics data on the same samples	Ingileif Hallgrimsdottir George Nicholson
14.50:16.00	Practicals at computer on analysis of proteomics and metabonomics data	Ingileif Hallgrimsdottir George Nicholson
16.00:16.15	Coffee break
16.15:18.00	Practicals at computer on analysis of proteomics and metabonomics data	Ingileif Hallgrimsdottir George Nicholson

Thursday – 29 March 2007

Proteomics Advanced
9.00:10.00	Multiple comparison issues and False Discovery Rate	Arief Gusnanto
10.00:11.20	Statistical Modelling of mass spectrometry proteomic data	Paul Eilers
11.20:11.40	Coffee break
11.40:12.40	Case-control study design and validation-based modelling for pattern classification in proteomics mass spectral data	Bart Mertens
12.45:13.45	Lunch
14.00:14:50	Logistic modelling for case-control analysis of proteomics mass spectra classification	Bart Mertens
14.50:16:00	Practicals at computer on Statistical Modelling of mass spectrometry proteomic data	Paul Eilers Arief Gusnanto Brian Tom Eduwin Pakpahan
16.00:16.15	Coffee break
16.15:18.00	Practicals at computer on Statistical Modelling of mass spectrometry proteomic data	Paul Eilers Arief Gusnanto Brian Tom Eduwin Pakpahan

Friday – 30 March 2007

Advanced Statistical Aspects
09.00:10.00	Causal modelling in functional genomics	Carlo Berzuini
10.00:11.00	Bayesian methods for detecting genetical biomarkers in NMR and Mass Spectrometry data	Chris Holmes
11.00:11.30	Coffee break
11.30:12.30	Empirical Bayes thresholding:adapting to sparsity when it is advantageous to do so	Bernard Silverman
12.30:13.30	Lunch
13.30:14.30	Bayesian Modelling and Feature Selection of Proteomic Functional Data	Philip Brown
14.30:15.30	Quantitative Approaches in Proteomics	Jens Lamerz
15.30	Closure