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2007

Journal Article

Predicting Nuclear Localization

Hawkins, John, Davis, Lynne and Boden, Mikael (2007). Predicting Nuclear Localization. Journal of Proteome Research, 6 (4), 1402-1409. doi: 10.1021/pr060564n

Predicting Nuclear Localization

2007

Book Chapter

Markovian bias of neural-based architectures with feedback connections

Tino, P., Hammer, B. and Boden, M. (2007). Markovian bias of neural-based architectures with feedback connections. Perspectives of Neural-Symbolic Integration. (pp. 95-133) edited by Hammer, B. and Hitzler, P.. Heidelberg, Germany: Springer-Verlag. doi: 10.1007/978-3-540-73954-8_5

Markovian bias of neural-based architectures with feedback connections

2007

Conference Publication

Predicting nucleolar proteins using support-vector machines

Bodén, Mikael (2007). Predicting nucleolar proteins using support-vector machines. 6th Asia-Pacific Bioinformatics Conference, Kyoto, Japan, 14-17 January, 2008. London, U.K.: Imperial College Press. doi: 10.1142/9781848161092_0005

Predicting nucleolar proteins using support-vector machines

2007

Conference Publication

A comparison of sequence kernels for localization prediction of transmembrane proteins

Maetschke, S., Gallagher, M. and Boden, M. (2007). A comparison of sequence kernels for localization prediction of transmembrane proteins. IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology 2007 (CIBCB 2007), Honolulu, Hawaii, 1-5 April 2007. Piscataway, NJ, U.S.A.: IEEE - Institute of Electrical Electronics Engineers Inc.. doi: 10.1109/cibcb.2007.4221246

A comparison of sequence kernels for localization prediction of transmembrane proteins

2007

Conference Publication

Understanding prediction systems for HLA-binding peptides and t-cell epitope identification

You, L., Zhang, P., Boden, M. and Brusic, V. (2007). Understanding prediction systems for HLA-binding peptides and t-cell epitope identification. Pattern Recognition in Bioinformatics (PRIB 2007), Singapore, 1-2 October 2007. Heidelberg, Germany: Springer. doi: 10.1007/978-3-540-75286-8_32

Understanding prediction systems for HLA-binding peptides and t-cell epitope identification

2006

Journal Article

Detecting and sorting targeting peptides wtih neural networks and support vector machines

Hawkins, John and Boden, Mikael (2006). Detecting and sorting targeting peptides wtih neural networks and support vector machines. Journal of Bioinformatics and Computational Biology, 4 (1), 1-18. doi: 10.1142/S0219720006001771

Detecting and sorting targeting peptides wtih neural networks and support vector machines

2006

Journal Article

Predicting the solvent accessibility of transmembrane residues from protein sequence

Yuan, Z., Zhang, F. S., Davis, M. J., Boden, M. and Teasdale, R. D. (2006). Predicting the solvent accessibility of transmembrane residues from protein sequence. Journal of Proteome Research, 5 (5), 1063-1070. doi: 10.1021/pr050397b

Predicting the solvent accessibility of transmembrane residues from protein sequence

2006

Conference Publication

Multi-stage redundancy reduction: effective utilisation of small protein data sets

Hawkins, J. and Boden, M. (2006). Multi-stage redundancy reduction: effective utilisation of small protein data sets. Intelligent Systems for Bioinformatics 2006, Hobart, Australia, 4 December, 2006. New South Wales, Australia: Australian Computer Society Inc..

Multi-stage redundancy reduction: effective utilisation of small protein data sets

2006

Journal Article

STAR: predicting recombination sites from amino acid sequence

Bauer, Denis C., Boden, Mikael, Thier, Ricarda and Gillam, Elizabeth M. (2006). STAR: predicting recombination sites from amino acid sequence. BMC Bioinformatics, 7 (437) 437, 437. doi: 10.1186/1471-2105-7-437

STAR: predicting recombination sites from amino acid sequence

2006

Conference Publication

Evolving discriminative motifs for recognizing proteins imported to the peroxisome via the PTS2 pathway

Boden, M. B. and Hawkins, J. C. (2006). Evolving discriminative motifs for recognizing proteins imported to the peroxisome via the PTS2 pathway. 2006 IEEE Congress on Evolutionary Computation, Vancouver, BC, Canada, 16-21 July, 2006. Piscataway, N.J., USA: IEEE. doi: 10.1109/cec.2006.1688653

Evolving discriminative motifs for recognizing proteins imported to the peroxisome via the PTS2 pathway

2006

Journal Article

Prediction of protein continuum secondary structure with probabilistic models based on NMR solved structures

Boden, M., Yuan, Z. and Bailey, T. L. (2006). Prediction of protein continuum secondary structure with probabilistic models based on NMR solved structures. Bmc Bioinformatics, 7 (68) 68, 1-12. doi: 10.1186/1471-2105-7-68

Prediction of protein continuum secondary structure with probabilistic models based on NMR solved structures

2006

Journal Article

Identifying sequence regions undergoing conformational change via predicted continuum secondary structure

Boden, M. and Bailey, T. L. (2006). Identifying sequence regions undergoing conformational change via predicted continuum secondary structure. Bioinformatics, 22 (15), 1809-1814. doi: 10.1093/bioinformatics/btl198

Identifying sequence regions undergoing conformational change via predicted continuum secondary structure

2006

Edited Outputs

Proceedings of the A1 2006 Workshop on Intelligent Systems of Bioinformatics (WISB 2006)

Mikael Boden and Timothy L. Bailey eds. (2006). Proceedings of the A1 2006 Workshop on Intelligent Systems of Bioinformatics (WISB 2006). Intelligent Systems for Bioinformatics 2006, Hobart, Australia, 4 December, 2006. New South Wales, Australia: Australian Computer Society Inc..

Proceedings of the A1 2006 Workshop on Intelligent Systems of Bioinformatics (WISB 2006)

2006

Conference Publication

Comparing SVM sequence kernels: A protein subcellular localization theme

Davis, L., Hawkins, J. C., Maetschke, S. R. and Boden, M B (2006). Comparing SVM sequence kernels: A protein subcellular localization theme. 2006 Workshop on Intelligent Systems for Bioinformatics (WISB 2006), Hobart, Tas, Australia, 4 December, 2006. New South Wales, Australia: Australian Computer Society Inc..

Comparing SVM sequence kernels: A protein subcellular localization theme

2006

Conference Publication

Higher order HMMs for localization prediction of transmembrance proteins

Maetschke, S. R., Boden, M B and Gallagher, M R (2006). Higher order HMMs for localization prediction of transmembrance proteins. 2006 Workshop on Intelligent Systems for Bioinformatics (WISB 2006), Hobart, Australia, 4 December, 2006. New South Wales, Australia: Australian Computer Society Inc..

Higher order HMMs for localization prediction of transmembrance proteins

2005

Conference Publication

Predicting structural disruption of proteins caused by crossover

Bauer, Denis C., Bodén, Mikael, Thier, Ricarda and Yuan, Zheng (2005). Predicting structural disruption of proteins caused by crossover. IEEE Computer Society. doi: 10.1109/cibcb.2005.1594962

Predicting structural disruption of proteins caused by crossover

2005

Conference Publication

Predicting peroxisomal proteins

Hawkins, John and Bodén, Mikael (2005). Predicting peroxisomal proteins. 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '05, , , November 14, 2005-November 15, 2005. IEEE Computer Society. doi: 10.1109/cibcb.2005.1594956

Predicting peroxisomal proteins

2005

Conference Publication

Heuristic algorithm for computing reversal distance with multigene families via binary integer programming

Suksawatchon, J., Lursinsap, C. and Bodén, M. (2005). Heuristic algorithm for computing reversal distance with multigene families via binary integer programming. IEEE Computer Society. doi: 10.1109/cibcb.2005.1594916

Heuristic algorithm for computing reversal distance with multigene families via binary integer programming

2005

Journal Article

Prediction of subcellular localization using sequence-biased recurrent networks

Boden, Mikael and Hawkins, John (2005). Prediction of subcellular localization using sequence-biased recurrent networks. Bioinformatics, 21 (10), 2279-2286. doi: 10.1093/bioinformatics/bti372

Prediction of subcellular localization using sequence-biased recurrent networks

2005

Conference Publication

Predicting peroxisomal proteins

Hawkins, J. C. and Boden, M. B. (2005). Predicting peroxisomal proteins. IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, San Diego, USA, 14-15 November, 2005. Piscataway, NJ, USA: IEEE Press.

Predicting peroxisomal proteins