Presentations

2008

• Ernest Turro, Alex Lewin, Sylvia Richardson, Multi-mapping Bayesian analysis of whole-transcript Affymetrix expression arrays, MGED 11, Trentino, 1-4 September 2008, poster
• Alex Lewin, Shrinkage models for variable selection in high-dimensional problems, Bayesian Analysis of High Dimensional Data Workshop, Warwick, April 14-16, 2008.
• Manuela Zucknick, Sylvia Richardson, MCMC methods for gene expression profiling via Bayesian variable selection, Lifestat Munich, March 12, 2008, presentation, abstract

2007

• Ernest Turro and Alex Lewin, BGX: a Bioconductor R package for the analysis of GeneChip data and BGMix: an R package for differential expression, 5th CSC/IC Microarray Centre Analysis Discussion Forum, June 2007, pdf
• Alex Lewin, Model checks for complex hierarchical models, Bioinformatics, Genetics and Stochastic Computation: Bridging the Gap, Banff, 2007
• Alex Lewin, Bayesian Modelling of Differential Gene Expression, Biometrics Showcase session at the First Channel Network Conference, Maastricht, 2007
• Manuela Zucknick, Sylvia Richardson, MCMC methods for Bayesian variable selection in binary classification in the "large p, small n" paradigm, Statistics for Biomolecular Data Integration and Modeling - Workshop, Ascona 2007 poster, abstract
• Manuela Zucknick, Sylvia Richardson, Building Gene Expression Profiles via Multivariate Analyses, ICSMRA Lisbon, August 31, 2007 presentation, abstract

2006

• Marta Blangiardo, Statistical Tools for Synthesizing Lists of Differentially Expressed Features in Microarray Experiments, LARS Workshop, Leeds, July 2006 ppt poster
• Marta Blangiardo, A statistical approach to the comparison of lists of differentially expressed genes, Imperial College Departmental Seminar February 2006 pdf
• Natalia Bochkina, Mixture modelling in a fully Bayesian framework with reference to microarray gene expression data, Valencia / ISBA Eighth World Meeting on Bayesian Statistics, Benidorm, June 2006 pdf poster
• Peter Green: Colouring and breaking sticks, pairwise coincidence losses, and clustering expression profiles., presentation at the Isaac Newton Institute, Cambridge, in the programme on Stochastic Computation in the Biological Sciences workshop on Recent Advances in Statistical Genetics and Bioinformatics, 11 December 2006 link
• Peter Green: Parametric gene expression profiles and optimal Bayesian clustering, CRiSM workshop on Bayesian Inference in Complex Stochastic Systems, Warwick, May 2006. pdf
• Anne-Mette K. Hein: Statistical analysis of Gene and Exon expression microarrays. Seminar at Bioinformatics Research Centre (BiRC), Aarhus University, Denmark, December 2006.
• Anne-Mette K. Hein: Aspects of ‘Bayesian Gene eXpression’ (BGX): inference without replicates and accounting forprobe affinity effects. Presentation at Stochastic centre workshop: Statistics for gene and protein expression, Gothenburg, Sweden, May 2006.
• Alex Lewin, Model checking in mixture models via mixed predictive p-values , Valencia / ISBA Eighth World Meeting on Bayesian Statistics, Benidorm, June 2006 ppt poster
• Sylvia Richardson, Bayesian analysis of gene expression data, Recent Advances in Statistical Genetics and Bioinformatics, Isaac Newton Institute for Mathematical Sciences, December 2006 pdf.
• Sylvia Richardson, Bayesian inference in differential expression experiments, Statistics for Gene and Protein Expression Workshop, Gothenburg, May 2006 ppt

2005

• Natalia Bochkina: 25-27 May 2005. Conference of International Biometrics Society, Spain (Oviedo). ppt
• Natalia Bochkina: Mixture models in a fully Bayesian framework for analysis of gene expression data. 12-15 January 2005. 2nd IMS-ISBA joint meeting (Bormio, Italy). poster
• Peter Green: Matching and alignment in protein bioinformatics, using Bayesian hierarchical models, Data Fusion workshop, Imperial College, 8–9 September 2005
• Peter Green: Model-based clustering of parametric gene expression profiles, workshop on Recent Advances in Biostatistics, Bioinformatics and Markov Chain Monte Carlo, UNSW, Australia, 7–8 July 2005 abstract.
• Sylvia Richardson, Bayesian hierarchical modelling of genomic data, 2nd IMS-ISBA joint meeting (Bormio, Italy), January 2005 ppt
• Natalia Bochkina, Mixture models in a fully Bayesian framework for analysis of gene expression data, Conference of International Biometrics Society, Spain (Oviedo), May 2005 ppt
• Anne-Mette K. Hein: Aspects of Bayesian Gene eXpression (BGX): Assessment of Uncertainty and Inference Without Replicates, Presentation at Workshop on statistics in genomics and proteomics, Monte Estoril, Portugal, October 2005.
• Alex Lewin, Bayesian Modelling for Differential Gene Expression, INSERM workshop on Biostatistical modelling of postgenomic data for biomedical research, Toulon, Oct 2005 ppt
• Alex Lewin: Poster: Mixture models for classifying differentially expressed genes. Data Fusion Workshop, Imperial, Sep 2005
• Alex Lewin, Mixture models for classifying differentially expressed genes, European Meeting of Statisticians, Oslo, Jul 2005 ppt
• Alex Lewin: Bayesian Analysis of Differential Gene Expression in Insulin Resistance. Microarray Analysis Discussion Group, UCL, Jun 2005
• Alex Lewin: Invited participant at Intelligent Data Analysis Discussion Workshop, Leiden, May 2005
• Alex Lewin: Poster: Bayesian Mixture Modelling of Gene Expression Data. Mathematical and Statistical Aspects of Molecular Biology XV, Rothamsted, Mar 2005
• Sylvia Richardson, Statistical Analysis of Gene Expression Data, Seminar for Royal Statistical Society Medical Section, November 2005 ppt
• Sylvia Richardson, Modelling of CGH arrays experiments, Data Fusion Workshop, Imperial College, September 2005 ppt
• Sylvia Richardson: Bayesian hierarchical modelling of genomic data, Invited talk at the conference "Recent advances in Biostatistics, Bioinformatics and Markov Chain Monte Carlo" Sydney, Australia, July 7-8 2005.

2004

• Anne-Mette K. Hein: BGX: A fully Bayesian Gene eXpression index for Affymetrix GeneChip array sInvited talk at Complex Stochastic Systems in Biology and Medicine, Munich, October 2004. link
• Anne-Mette K. Hein: Bayesian hierarchical models. Presentation at Bioinformatics and Expression Data Analysis, Oxford Centre for Gene Function, October 2004.
• Anne-Mette K. Hein: BGX: A fully Bayesian Gene eXpression index for Affymetrix GeneChip arrays Invited talk at Rothamsted, September 2004. link
• Anne-Mette K. Hein: A fully Bayesian method for estimating gene expression levels from Affymetrix GeneChip arraysInvited talk at MASAMB, March 2004. link
• Alex Lewin: A Bayesian model for simultaneous normalisation and differential expression. Department of Statistics, NTNU, Trondheim, Nov 2004 (part of week-long visit)
• Alex Lewin: Oral presentation: Simultaneous Normalisation and Differential Expression. BBSRC ExGen Grantholders Meeting, Windsor, Oct 2004
• Alex Lewin: Poster: A Bayesian Mixture Model for estimating the False Discovery Rate. . Statistics in Functional Genomics Workshop, Ascona, Jul 2004
• Alex Lewin: Normalisation, differential expression and a Bayesian mixture model for estimating the False Discovery Rate. Institut Pasteur (Philippe Froguel’s Group), Lille, Mar 2004
• Alex Lewin: Poster: A Bayesian Mixture Model for estimating the False Discovery Rate. Mathematical and Statistical Aspects of Molecular Biology XIV, Cambridge, Mar 2004
• Alex Lewin: Normalisation, differential expression and a Bayesian mixture model for estimating the False Discovery Rate. School of Applied Statistics, Reading, Feb 2004
• Alex Lewin: Seminar: Bayesian modelling of gene expression data. Department of Epidemiology, Imperial, Jan 2004
• Sylvia Richardson: Bayesian hierarchical modelling of gene expression data, Invited talk at the "Statistics in Functional Genomics" workshop, Ascona (Switzerland), June 27-July 2 2004.
• Sylvia Richardson: Bayesian hierarchical modelling of gene expression data, Invited talk at the IMS program on "Satistical method in Microarray Analsysis", Singapore, 2-31 January 2004.

2003

• Graeme Ambler: Bayesian Two-way Clustering for Gene Expression Data (poster) 2003 RSS Conference, on Statistical Genetics and Bioinformatics, Limburgs Universitair Centrum, Belgium, 15-18 July 2003. Runner-up of best poster competition.
• Graeme Ambler and Peter Green: Bayesian Two-way Clustering for Gene Expression Data, EPSRC–RSS Workshop on Statistical Analysis of Gene Expression Data, Wye College, 12 July 2003 pdf (Peter) pdf (Graeme).
• Peter Green: Modéisation Bayésienne pour des problèmes de classification (Bayesian clustering models for gene expression data), Analyse statistique des Biopuces - INSERM Atelier de Formation no. 145, 26-27 May 2003, Toulon. pdf.
• Anne-Mette K. Hein: Presentation at the RSS Workshop, Wye July 2003. Bayesian Hierarchical models for analysing Affymetrix gene expression arrays using probe level data , Presentation at the RSS Workshop, Wye July 2003. pdf.
• Alex Lewin: Oral presentation: Bayesian modelling of Normalisation and Differential Gene Expression. Royal Statistical Society Workshop, Wye, Jul 2003
• Alex Lewin: Poster: Bayesian Gene-Expression Index, Normalisation and Differential Expression. . Royal Statistical Society Conference, Leuven, Jul 2003.
• Sylvia Richardson: Bayesian modelling of differential gene expression data, Invited talk at the "International Workshop on Bayesian Data Analysis" Santa Cruz (USA), 7-10 August 2003.

2002

• Alex Lewin: Oral presentation: Bayesian Gene-Expression Index, Normalisation and Differential Expression. Systems Theory and Genomics Workshop, UMIST, Sep 2002

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