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Posters for MASAMB 2013For a list of poster abstracts please click herePosters should be (up to) A1 portrait in size. List of postersNarayan Jayaram and Andrew MartinA Computational Tool For Identification Of Deleterious SNVs In Transcription Factor Binding Sites
Ann Babtie, Dominic Smith, Phoebe Jones, Angelique Ale, Paul Kirk, Sarah Filippi, Aaron Sim and Michael StumpfA moment expansion approach for stochastic simulation and inference
Paul Kirk, Alexandra Lewin and Michael StumpfBalancing robustness and predictive performance in biomarker selection
Konstantinos Angelis, Mario Dos Reis and Ziheng YangBayesian estimation of the non-synonymous/synonymous rate ratio and sequence distance between two protein coding sequences
Marco ScutariBayesian Networks for Gene Networks Discovery: Parallel and Optimized Learning
Virginia Fairclough and John PinneyBROOMM: an application to aid curation of biomass reactions within metabolic models
Luca Salerno, Carlo Cosentino, Alessio Merola, Declan Bates and Francesco AmatoControl-Theoretic Analysis of Bistability in the GAL Regulatory System
Borislav Vangelov and Mauricio BarahonaData-driven Construction of Transcriptomic Landscapes
Justina Žurauskienė, Paul Kirk, Thomas Thorne, John Pinney and Michael StumpfDerivative Processes for Modelling Metabolic Fluxes
Anna Ramisch and Martin VingronDoes Compressed Sensing help in disease classification?
Michael Epstein, Lucia Sivilotti, Ben Calderhead and Mark GirolamiExamining Bayesian Methods in Ion Channel Modelling
Elizabeth Boggis, Marta Milo and Kevin WaltersExploiting Adaptive Bayesian Regression Shrinkage to identify Exome Sequence Variants associated with Gene Expression
Christopher Penfold and David WildHierarchical Modelling for Leveraging Network Structure Between Species
Christophe DessimozHierarchical Orthologous Groups: mathematical foundations and efficient inference
Richard SavageHow to predict if your cancer patient will die
Alessandro Mammana and Ho-Ryun ChungInference of the average fragment length in ChIP-seq data
Waqar Ali and John PinneyInferring systematic experimental bias in protein interaction datasets.
Andrew Rimmer, Hang Phan and Gerton LunterIntegrated Variant Calling, and HLA-typing with Platypus
Joe Wandy, Rónán Daly, Rainer Breitling and Simon RogersInvestigating the use of derivative peaks in the alignment of LC-MS data.
Antti Honkela, Jaakko Peltonen, Ciira Maina, Hande Topa, Neil Lawrence and Magnus RattrayJoint probabilistic modelling of transcription and gene expression
Anne-Marie Lyne and Mark GirolamiMCMC for posterior inference over Exponential Random Graph models
Agnes Jonas, Hande Topa, Liang Leng, Antti Honkela and Carolin KosiolModelling Allele Frequency Trajectories of Experimental Evolution with Fruit Flies
Vinny Davies, Dirk Husmeier, Richard Reeve and William HarveyModelling antigenic variability in the foot-and-mouth disease virus using the LASSO
Vasileios Giagos, Martin Ridout, Byron Morgan, Naeimi Wesley, Tobias von der Haar and Mick TuiteModelling Prion Dynamics in budding yeast cells
Crina GrosanMultiMot - an online motif finder in multirelational graphs
Rob Johnson, Paul Kirk and Michael StumpfNested sampling for model selection in systems biology
Peter ArndtNeutral evolution of duplicated DNA: An evolutionary stick-breaking process causes scale-invariant behaviour
Daniel Silk, Sarah Filippi and Michael StumpfOptimizing Threshold–Schedules for Approximate Bayesian Computation Sequential Monte Carlo Samplers: Applications to Molecular Systems
J KrishnanSpatial aspects of molecular information processing
Tomasz Jetka, Michał Komorowski and Michael StumpfStatistical analysis of stochastic biochemical signaling
Oleg LeniveTwo-node gene regulatory motifs, AND/OR, extrinsic noise: transmitting one bit of information.
Johannes Helmuth and Ho-Ryun ChungUbiquitously active CpG-enriched genes are regulated at the transition from transcription initiation to elongation
Kai Brügge and Antti HonkelaWarped Gaussian process approximations to molecular evolution models
Theodore Papamarkou, Antonietta Mira and Mark GirolamiZero Variance Differential Geometric MCMC in Dynamic Modelling Under Uncertainty
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