Probabilistic annotation of protein sequences based on functional classifications. (2007)
Levy, Emmanuel D, Ouzounis, Christos A, Gilks, Walter R, Audit, Benjamin
BACKGROUND: One of the most evident achievements of bioinformatics is the development of methods that transfer biological knowledge from characterised proteins to uncharacterised sequences. This mode...
Probabilistic annotation of protein sequences based on functional classifications (2007)
Levy, Emmanuel D., Ouzounis, Christos A., Gilks, Walter R., Audit, Benjamin
BACKGROUND: One of the most evident achievements of bioinformatics is the development of methods that transfer biological knowledge from characterised proteins to uncharacterised sequences. This mode...
Probabilistic annotation of protein sequences based on functional classifications. (2007)
Levy, Emmanuel D, Ouzounis, Christos A, Gilks, Walter R, Audit, Benjamin
BACKGROUND: One of the most evident achievements of bioinformatics is the development of methods that transfer biological knowledge from characterised proteins to uncharacterised sequences. This mode...
Vavouri, Tanya, Walter, Klaudia, Gilks, Walter R, Lehner, Ben, Elgar, Greg
Abstract Background The human genome contains thousands of non-coding sequences that are often more conserved between vertebrate species than protein-coding exons. These highly conserved non-coding...
Predicting the Strongest Domain-Domain Contact in Interacting Protein Pairs (2006)
Nye, Tom M. W., Berzuini, Carlo, Gilks, Walter R, Babu, M. Madan, Teichmann, Sarah
Experiments to determine the complete 3-dimensional structures of protein complexes are difficult to perform and only a limited range of such structures are available.In contrast, large-scale...
Predicting the Strongest Domain-Domain Contact in Interacting Protein Pairs (2006)
Nye, Tom M. W., Berzuini, Carlo, Gilks, Walter R, Babu, M. Madan, Teichmann, Sarah
Experiments to determine the complete 3-dimensional structures of protein complexes are difficult to perform and only a limited range of such structures are available.In contrast, large-scale...
Predicting the Strongest Domain-Domain Contact in Interacting Protein Pairs (2006)
Nye, Tom M. W., Berzuini, Carlo, Gilks, Walter R, Babu, M. Madan, Teichmann, Sarah
Experiments to determine the complete 3-dimensional structures of protein complexes are difficult to perform and only a limited range of such structures are available.In contrast, large-scale...
Predicting the Strongest Domain-Domain Contact in Interacting Protein Pairs (2006)
Nye, Tom M. W., Berzuini, Carlo, Gilks, Walter R, Babu, M. Madan, Teichmann, Sarah
Experiments to determine the complete 3-dimensional structures of protein complexes are difficult to perform and only a limited range of such structures are available.In contrast, large-scale...
Probabilistic annotation of protein sequences based on functional classifications (2005)
Levy, Emmanuel D, Ouzounis, Christos A, Gilks, Walter R, Audit, Benjamin
Abstract Background One of the most evident achievements of bioinformatics is the development of methods that transfer biological knowledge from characterised proteins to uncharacterised sequences....
Quality determination and the repair of poor quality spots in array experiments (2005)
Tom, Brian DM, Gilks, Walter R, Brooke-Powell, Elizabeth T, Ajioka, James W
Abstract Background A common feature of microarray experiments is the occurence of missing gene expression data. These missing values occur for a variety of reasons, in particular, because of the...
Abnizova, Irina, Te Boekhorst, Rene, Walter, Klaudia, Gilks, Walter R
Abstract Background This paper addresses the problem of recognising DNA cis-regulatory modules which are located far from genes. Experimental procedures for this are slow and costly, and...
Sequential Monte-Carlo Filtering with Across-Model Simulation Carlo Berzuini* (2000)
Carlo Berzuini, Walter R. Gilks
= 1; 2; : : :, the current set of particles is updated to reflect the current posterior, t h . Each resampling, at t h , is an importance-weighted resampling, possibly involving an augmentation if...
Adaptive Markov Chain Monte Carlo through Regeneration (1998)
Walter R. Gilks, Gareth O. Roberts, Sujit K. Sahu
this paper is organized as follows. In Section 2 we introduce the concept of regeneration and adaptation at regeneration, and provide theoretical support. In Section 3, the splitting techniques...
Adaptive Markov chain Monte Carlo through regeneration (1998)
Gilks, Walter R., Roberts, Gareth O., Sahu, Sujit K.
Markov chain Monte Carlo (MCMC) is used for evaluating expectations of functions of interest under a target distribution π. This is done by calculating averages over the sample path of a Markov...
Dynamic Conditional Independence Models And Markov Chain Monte Carlo Methods (1996)
Carlo Berzuini, Nicola G. Best, Walter R. Gilks
In dynamic statistical modeling situations, observations arise sequentially, causing the model to expand by progressive incorporation of new data items and new unknown parameters. For example, in...
Quality determination and the repair of poor quality spots in array experiments
Tom, Brian DM, Gilks, Walter R, Brooke-Powell, Elizabeth T, Ajioka, James W
Probabilistic annotation of protein sequences based on functional classifications
Levy, Emmanuel D, Ouzounis, Christos A, Gilks, Walter R, Audit, Benjamin
Quality determination and the repair of poor quality spots in array experiments
Tom, Brian DM, Gilks, Walter R, Brooke-Powell, Elizabeth T, Ajioka, James W
Probabilistic annotation of protein sequences based on functional classifications
Levy, Emmanuel D, Ouzounis, Christos A, Gilks, Walter R, Audit, Benjamin
Vavouri, Tanya, Walter, Klaudia, Gilks, Walter R, Lehner, Ben, Elgar, Greg
Invertebrate conserved noncoding elements (CNEs) are associated with the same core set of genes as vertebrate CNEs, and may reflect the parallel evolution of enhancers in the gene regulatory networks...