Designing Development Rules for Artificial Evolution. - Alistair G. Rust; Rod Adams; Stella J. George; Hamid Bolouri (ICANNGA, 1997)

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 (ICONIP, 1998)

Developmental self-organisation in artificial neural networks. - Alistair Gibson Rust (1998)

Image Redundancy Reduction for Neural Network Classification Using Discrete Cosine Transforms. - Zhengjun Pan; Alistair G. Rust; Hamid Bolouri (IJCNN (3), 2000)

Towards Computational Neural Systems through Developmental Evolution. - Alistair G. Rust; Rod Adams; Stella J. George; Hamid Bolouri (Emergent Neural Computational Architectures Based on Neuroscience, 2001)

A finite state automaton model for multi-neuron simulations. - Maria J. Schilstra; Alistair G. Rust; Rod Adams; Hamid Bolouri (Neurocomputing, 2002)

The Ensembl genome database project. - Tim J. P. Hubbard; Daniel Barker; Ewan Birney; Graham Cameron; Yuan Chen 007; Laura Clarke; Tony Cox 001; James A. Cuff; Val Curwen; Thomas A. Down; Richard Durbin; Eduardo Eyras; et al. (Nucleic Acids Res., 2002)

Ensembl 2002: accommodating comparative genomics. - Michele E. Clamp; T. Daniel Andrews; Daniel Barker; Paul Bevan 001; Graham Cameron; Yuan Chen 007; Laura Clarke; Tony Cox 001; James A. Cuff; Val Curwen; Thomas A. Down; Richard Durbin; et al. (Nucleic Acids Res., 2003)

Integrating Binding Site Predictions Using Non-linear Classification Methods. - Yi Sun 001; Mark Robinson; Rod Adams; Paul Kaye; Alistair G. Rust; Neil Davey (Deterministic and Statistical Methods in Machine Learning, 2004)

Design of spatially extended neural networks for specific applications. - Rod Adams; Rene te Boekhorst; Alistair G. Rust; Paul Kaye; Maria J. Schilstra (IJCNN, 2004)

Using real-valued meta classifiers to integrate binding site predictions. - Yi Sun 001; Mark Robinson; Rod Adams; Paul Kaye; Alistair G. Rust; Neil Davey (IJCNN, 2005)

Using Feature Selection Filtering Methods for Binding Site Predictions. - Yi Sun 001; Mark Robinson; Rod Adams; Rene te Boekhorst; Alistair G. Rust; Neil Davey (IEEE ICCI, 2006)

Using sampling methods to improve binding site predictions. - Yi Sun 001; Mark Robinson; Rod Adams; Rene te Boekhorst; Alistair G. Rust; Neil Davey (ESANN, 2006)

Improving Computational Predictions of Cis- Regulatory Binding Sites. - Mark Robinson; Yi Sun 001; Rene te Boekhorst; Paul Kaye; Rod Adams; Neil Davey; Alistair G. Rust (Pacific Symposium on Biocomputing, 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)

Using Real-Valued Meta Classifiers to Integrate and Contextualize Binding Site Predictions. - Mark Robinson; Offer Sharabi; Yi Sun 001; Rod Adams; Rene te Boekhorst; Alistair G. Rust; Neil Davey (ICANNGA (1), 2007)

Predicting Binding Sites in the Mouse Genome. - Yi Sun 001; Mark Robinson; Rod Adams; Neil Davey; Alistair G. Rust (ICMLA, 2007)

Prediction of Binding Sites in the Mouse Genome Using Support Vector Machines. - Yi Sun 001; Mark Robinson; Rod Adams; Alistair G. Rust; Neil Davey (ICANN (2), 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 001 (Neural Networks, 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; et al. (PLoS Comput. Biol., 2008)

Integrating genomic binding site predictions using real-valued meta classifiers. - Yi Sun 001; Mark Robinson; Rod Adams; Rene te Boekhorst; Alistair G. Rust; Neil Davey (Neural Comput. Appl., 2009)

Using pre & post-processing methods to improve binding site predictions. - Yi Sun 001; Cristina González Castellano; Mark Robinson; Rod Adams; Alistair G. Rust; Neil Davey (Pattern Recognit., 2009)

Using Randomised Vectors in Transcription Factor Binding Site Predictions. - Faisal Ibne Rezwan; Yi Sun 001; Neil Davey; Rod Adams; Alistair G. Rust; Mark Robinson (ICMLA, 2010)

Effect of Using Varying Negative Examples in Transcription Factor Binding Site Predictions. - Faisal Ibne Rezwan; Yi Sun 001; Neil Davey; Rod Adams; Alistair G. Rust; Mark Robinson (EvoBio, 2011)

Using Varying Negative Examples to Improve Computational Predictions of Transcription Factor Binding Sites. - Faisal Ibne Rezwan; Yi Sun 001; Neil Davey; Rod Adams; Alistair G. Rust; Mark Robinson (EANN, 2012)

Improving Transcription Factor Binding Site Predictions by Using Randomised Negative Examples. - Faisal Ibne Rezwan; Yi Sun 001; Neil Davey; Rod Adams; Alistair G. Rust; Mark Robinson (IPCAT, 2012)

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 (PRIB, 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)