Alistair G. Rust
Orcid: 0000-0001-7287-192X
According to our database1,
Alistair G. Rust
authored at least 28 papers
between 1997 and 2013.
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Bibliography
2013
Cake: a bioinformatics pipeline for the integrated analysis of somatic variants in cancer genomes.
Bioinform., 2013
Proceedings of the Pattern Recognition in Bioinformatics, 2013
2012
Improving Transcription Factor Binding Site Predictions by Using Randomised Negative Examples.
Proceedings of the Information Processign in Cells and Tissues, 2012
Using Varying Negative Examples to Improve Computational Predictions of Transcription Factor Binding Sites.
Proceedings of the Engineering Applications of Neural Networks, 2012
2011
Effect of Using Varying Negative Examples in Transcription Factor Binding Site Predictions.
Proceedings of the Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 2011
2010
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010
2009
Pattern Recognit., 2009
Neural Comput. Appl., 2009
2008
Uncovering a Macrophage Transcriptional Program by Integrating Evidence from Motif Scanning and Expression Dynamics.
PLoS Comput. Biol., 2008
Combining experts in order to identify binding sites in yeast and mouse genomic data.
Neural Networks, 2008
Proceedings of the Artificial Neural Networks, 2008
2007
Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007
Using Real-Valued Meta Classifiers to Integrate and Contextualize Binding Site Predictions.
Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007
2006
J. Bioinform. Comput. Biol., 2006
Proceedings of the Biocomputing 2006, 2006
Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006
Proceedings of the Firth IEEE International Conference on Cognitive Informatics, 2006
2005
Proceedings of the IEEE International Joint Conference on Neural Networks, 2005
2004
Proceedings of the IEEE International Joint Conference on Neural Networks, 2004
Proceedings of the Deterministic and Statistical Methods in Machine Learning, 2004
2003
2002
2001
Proceedings of the Emergent Neural Computational Architectures Based on Neuroscience, 2001
2000
Image Redundancy Reduction for Neural Network Classification Using Discrete Cosine Transforms.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000
1998
Molecular Self-Organization in the Development Model for the Evolution of Large-scale Artificial Neural Networks.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998
1997
Proceedings of the International Conference on Artificial Neural Nets and Genetic Algorithms, 1997