Alistair G. Rust

According to our database, Alistair G. Rust authored at least 26 papers between 1997 and 2013.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2013

Cake: a bioinformatics pipeline for the integrated analysis of somatic variants in cancer genomes.

Mamunur Rashid, Carla Daniela Robles-Espinoza, Alistair G. Rust, David J. Adams

Bioinform., 2013

Mutational Genomics for Cancer Pathway Discovery.

Jeroen de Ridder, Jaap Kool, Anthony Uren, Jan Bot, Johann de Jong, Alistair G. Rust, Anton Berns, Maarten van Lohuizen, David J. Adams, Lodewyk F. A. Wessels, Marcel J. T. Reinders

Proceedings of the Pattern Recognition in Bioinformatics, 2013

2012

Improving Transcription Factor Binding Site Predictions by Using Randomised Negative Examples.

Faisal Ibne Rezwan, Yi Sun, Neil Davey, Rod Adams, Alistair G. Rust, Mark Robinson

Proceedings of the Information Processign in Cells and Tissues, 2012

Using Varying Negative Examples to Improve Computational Predictions of Transcription Factor Binding Sites.

Faisal Ibne Rezwan, Yi Sun, Neil Davey, Rod Adams, Alistair G. Rust, Mark Robinson

Proceedings of the Engineering Applications of Neural Networks, 2012

2011

Effect of Using Varying Negative Examples in Transcription Factor Binding Site Predictions.

Faisal Ibne Rezwan, Yi Sun, Neil Davey, Rod Adams, Alistair G. Rust, Mark Robinson

Proceedings of the Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 2011

2010

Using Randomised Vectors in Transcription Factor Binding Site Predictions.

Faisal Ibne Rezwan, Yi Sun, Neil Davey, Rod Adams, Alistair G. Rust, Mark Robinson

Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

2009

Using pre & post-processing methods to improve binding site predictions.

Yi Sun, Cristina González Castellano, Mark Robinson, Rod Adams, Alistair G. Rust, Neil Davey

Pattern Recognit., 2009

Integrating genomic binding site predictions using real-valued meta classifiers.

Yi Sun, Mark Robinson, Rod Adams, Rene te Boekhorst, Alistair G. Rust, Neil Davey

Neural Comput. Appl., 2009

2008

Uncovering a Macrophage Transcriptional Program by Integrating Evidence from Motif Scanning and Expression Dynamics.

Stephen A. Ramsey, Sandy L. Klemm, Daniel E. Zak, Kathleen A. Kennedy, Vesteinn Thorsson, Bin Li, Mark Gilchrist, Elizabeth S. Gold, Carrie D. Johnson, Vladimir Litvak, Garnet Navarro, Jared C. Roach, Carrie M. Rosenberger, Alistair G. Rust, Natalya Yudkovsky, Alan Aderem, Ilya Shmulevich

PLoS Comput. Biol., 2008

Combining experts in order to identify binding sites in yeast and mouse genomic data.

Mark Robinson, Cristina González Castellano, Faisal Ibne Rezwan, Rod Adams, Neil Davey, Alistair G. Rust, Yi Sun

Neural Networks, 2008

Prediction of Binding Sites in the Mouse Genome Using Support Vector Machines.

Yi Sun, Mark Robinson, Rod Adams, Alistair G. Rust, Neil Davey

Proceedings of the Artificial Neural Networks, 2008

2007

Predicting Binding Sites in the Mouse Genome.

Yi Sun, Mark Robinson, Rod Adams, Neil Davey, Alistair G. Rust

Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007

Using Real-Valued Meta Classifiers to Integrate and Contextualize Binding Site Predictions.

Mark Robinson, Offer Sharabi, Yi Sun, Rod Adams, Rene te Boekhorst, Alistair G. Rust, Neil Davey

Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007

2006

Transcription Binding Site Prediction Using Markov Models.

Irina I. Abnizova, Alistair G. Rust, Mark Robinson, Rene te Boekhorst, Walter R. Gilks

J. Bioinform. Comput. Biol., 2006

Improving Computational Predictions of Cis- Regulatory Binding Sites.

Mark Robinson, Yi Sun, Rene te Boekhorst, Paul Kaye, Rod Adams, Neil Davey, Alistair G. Rust

Proceedings of the Biocomputing 2006, 2006

Using sampling methods to improve binding site predictions.

Yi Sun, Mark Robinson, Rod Adams, Rene te Boekhorst, Alistair G. Rust, Neil Davey

Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

Using Feature Selection Filtering Methods for Binding Site Predictions.

Yi Sun, Mark Robinson, Rod Adams, Rene te Boekhorst, Alistair G. Rust, Neil Davey

Proceedings of the Firth IEEE International Conference on Cognitive Informatics, 2006

2004

Integrating Binding Site Predictions Using Non-linear Classification Methods.

Yi Sun, Mark Robinson, Rod Adams, Paul Kaye, Alistair G. Rust, Neil Davey

Proceedings of the Deterministic and Statistical Methods in Machine Learning, 2004

2003

Ensembl 2002: accommodating comparative genomics.

Michele E. Clamp, T. Daniel Andrews, Daniel Barker, Paul Bevan, Graham Cameron, Yuan Chen, Laura Clarke, Tony Cox, James A. Cuff, Val Curwen, Thomas A. Down, Richard Durbin, Eduardo Eyras, James G. R. Gilbert, Martin Hammond, Tim J. P. Hubbard, Arek Kasprzyk, Damian Keefe, Heikki Lehväslaiho, Vivek Iyer, Craig Melsopp, Emmanuel Mongin, Roger Pettett, Simon C. Potter, Alistair G. Rust, Esther Schmidt, Stephen M. J. Searle, Guy Slater, James A. Smith, William Spooner, Arne Stabenau, Jim Stalker, Elia Stupka, Abel Ureta-Vidal, Imre Vastrik, Ewan Birney

Nucleic Acids Res., 2003

2002

The Ensembl genome database project.

Tim J. P. Hubbard, Daniel Barker, Ewan Birney, Graham Cameron, Yuan Chen, Laura Clarke, Tony Cox, James A. Cuff, Val Curwen, Thomas A. Down, Richard Durbin, Eduardo Eyras, James G. R. Gilbert, Martin Hammond, Lukasz Huminiecki, Arek Kasprzyk, Heikki Lehväslaiho, Philip Lijnzaad, Craig Melsopp, Emmanuel Mongin, Roger Pettett, Matthew R. Pocock, Simon C. Potter, Alistair G. Rust, Esther Schmidt, Stephen M. J. Searle, Guy Slater, James A. Smith, William Spooner, Arne Stabenau, Jim Stalker, Elia Stupka, Abel Ureta-Vidal, Imre Vastrik, Michele E. Clamp

Nucleic Acids Res., 2002

A finite state automaton model for multi-neuron simulations.

Maria J. Schilstra, Alistair G. Rust, Rod Adams, Hamid Bolouri

Neurocomputing, 2002

2001

Towards Computational Neural Systems through Developmental Evolution.

Alistair G. Rust, Rod Adams, Stella J. George, Hamid Bolouri

Proceedings of the Emergent Neural Computational Architectures Based on Neuroscience, 2001

2000

Image Redundancy Reduction for Neural Network Classification Using Discrete Cosine Transforms.

Zhengjun Pan, Alistair G. Rust, Hamid Bolouri

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1998

Developmental self-organisation in artificial neural networks.

Alistair Gibson Rust

PhD thesis, 1998

Molecular Self-Organization in the Development Model for the Evolution of Large-scale Artificial Neural Networks.

Hamid Bolouri, Rod Adams, Stella J. George, Alistair G. Rust

Proceedings of the Fifth International Conference on Neural Information Processing, 1998

1997

Designing Development Rules for Artificial Evolution.

Alistair G. Rust, Rod Adams, Stella J. George, Hamid Bolouri

Proceedings of the International Conference on Artificial Neural Nets and Genetic Algorithms, 1997