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2010 Journal Article A bayesian network model of proteins' association with promyelocytic leukemia (PML) nuclear bodiesBoden, Mikael, Dellaire, Graham, Burrage, Kevin and Bailey, Timothy L. (2010). A bayesian network model of proteins' association with promyelocytic leukemia (PML) nuclear bodies. Journal of Computational Biology, 17 (4), 617-630. doi: 10.1089/cmb.2009.0140 |
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2010 Journal Article Assigning roles to DNA regulatory motifs using comparative genomicsBuske, Fabian A., Boden, Mikael, Bauer, Denis C. and Bailey, Timothy L. (2010). Assigning roles to DNA regulatory motifs using comparative genomics. Bioinformatics, 26 (7) btq049, 860-866. doi: 10.1093/bioinformatics/btq049 |
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2010 Conference Publication Multilinear decomposition and topographic mapping of binary tensorsMazgut, Jakub, Tino, Peter, Boden, Mikael and Yan, Hong (2010). Multilinear decomposition and topographic mapping of binary tensors. 20th International Conference on Artificial Neural Networks (ICANN 2010), Thessaloniki, Greece, 15-18 September 2010. Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-15819-3_42 |
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2009 Journal Article In silico characterization of protein chimeras: Relating sequence and function within the same foldBuske, Fabian A., Their, Ricarda, Gillam, Elizabeth M. J. and Boden, Mikael (2009). In silico characterization of protein chimeras: Relating sequence and function within the same fold. Proteins: Structure, Function, and Bioinformatics, 77 (1), 111-120. doi: 10.1002/prot.22422 |
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2009 Journal Article It's about time: Signal recognition in staged models of protein translocationBuske, Fabian A., Maetschke, Stefan and Boden, Mikael (2009). It's about time: Signal recognition in staged models of protein translocation. Pattern Recognition, 42 (4), 567-574. doi: 10.1016/j.patcog.2008.09.020 |
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2009 Journal Article MEME suite: Tools for motif discovery and searchingBailey, T. L., Boden, M. B., Buske, F. A., Frith, M., Grant, C. E., Clementi, L., Ren, J. Y., Li, W. W. and Noble, W. S. (2009). MEME suite: Tools for motif discovery and searching. Nucleic Acids Research, 37 (Suppl. 2), W202-W208. doi: 10.1093/nar/gkp335 |
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2009 Conference Publication Detecting sequence and structure homology via an integrative kernel: A case-study in recognizing enzymesArieshanti, I., Boden, M., Maetschke, S and Buske, F. A. (2009). Detecting sequence and structure homology via an integrative kernel: A case-study in recognizing enzymes. IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology 2009, Nashville, Tennessee, U.S.A., 30 March - 2 April , 2009. United States of America: IEEE. doi: 10.1109/CIBCB.2009.4925706 |
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2008 Journal Article Determining nucleolar association from sequence by leveraging protein-protein interactionsBoden, M. and Teasdale, R. D. (2008). Determining nucleolar association from sequence by leveraging protein-protein interactions. Journal of Computational Biology, 15 (3), 291-304. doi: 10.1089/cmb.2007.0163 |
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2008 Journal Article Associating transcription factor-binding site motifs with target GO terms and target genesBoden, M. and Bailey, T. L. (2008). Associating transcription factor-binding site motifs with target GO terms and target genes. Nucleic Acids Research, 36 (12), 4108-4117. doi: 10.1093/nar/gkn374 |
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2008 Journal Article Network: Computation in Neural Systems: EditorialGoodhill, Geoff, Baker, Curtis, Balasubramanian, Vijay, Bazhenov, Maxim, Beck, Jeffrey, Becker, Sue, Bethge, Matthias, Boahen, Kwabena, Boden, Mikael, Bonin, Vincent, Bouret, Sebastien, Fairhall, Adrienne, Flash, Tamar, French, Robert, Gillies, Andrew, Gollisch, Tim, Gurney, Kevin, Gutkin, Boris, Hayhoe, Mary, Hunt, Jonathan, Ibbotson, Michael, Kepecs, Adam, Kingdom, Fred, Kropff, Emilio, Longden, Kit, Marder, Eve, Miikkulainen, Risto, Oliva, Aude, Olshausen, Bruno ... Zhaoping, Li (2008). Network: Computation in Neural Systems: Editorial. Network: Computation in Neural Systems, 19 (1), 1-2. doi: 10.1080/09548980801915409 |
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2008 Conference Publication Predicting SUMOylation sitesBauer, Denis C., Buske, Fabian A. and Boden, Mikael (2008). Predicting SUMOylation sites. 3rd IAPR International Conference on Pattern Recognition in Bioinformatics, Melbourne, Australia, 15-17 October, 2008. Berlin, Germany: Springer-Verlag Berlin. doi: 10.1007/978-3-540-88436-1-3 |
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2007 Journal Article Computing the reversal distance between genomes in the presence of multi-gene families via binary integer programmingSuksawatchon, J., Lursinsap, C. and Boden, M. (2007). Computing the reversal distance between genomes in the presence of multi-gene families via binary integer programming. Journal of Bioinformatics and Computational Biology, 5 (1), 117-133. doi: 10.1142/S0219720007002552 |
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2007 Journal Article Identifying novel peroxisomal proteinsHawkins, J., Mahony, D., Maetschke, S., Wakabayashi, M., Teasdale, R. D. and Boden, M. (2007). Identifying novel peroxisomal proteins. Proteins: Structure Function and Bioinformatics, 69 (3), 606-616. doi: 10.1002/prot.21420 |
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2007 Conference Publication Decoupling signal recognition from sequence models of protein secretionBuske, Fabian and Boden, Mikael (2007). Decoupling signal recognition from sequence models of protein secretion. Computational Models for Life Sciences - CMLS'07, Gold Coast, QLD, Australia, 17 - 19 December 2007. Melville, NY, U.S.A.: American Institute of Physics. doi: 10.1063/1.2816618 |
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2007 Conference Publication Reducing the number of support vectors to allay inefficiency of large-scale models in computational biologyDufton, L. and Boden, M. (2007). Reducing the number of support vectors to allay inefficiency of large-scale models in computational biology. Computational Models for Life Sciences - CMLS'07, Queensland, Australia, 17-19 December, 2007. New York: American Institute of Physics. doi: 10.1063/1.2816639 |
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2007 Journal Article Evolving spelling exercises to suit individual student needsBoden, Marie and Boden, Mikael (2007). Evolving spelling exercises to suit individual student needs. Applied Soft Computing, 7 (1), 126-135. doi: 10.1016/j.asoc.2005.03.001 |
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2007 Journal Article Predicting Nuclear LocalizationHawkins, John, Davis, Lynne and Boden, Mikael (2007). Predicting Nuclear Localization. Journal of Proteome Research, 6 (4), 1402-1409. doi: 10.1021/pr060564n |
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2007 Book Chapter Markovian bias of neural-based architectures with feedback connectionsTino, 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 |
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2007 Conference Publication Predicting nucleolar proteins using support-vector machinesBodén, 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 |
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2007 Conference Publication A comparison of sequence kernels for localization prediction of transmembrane proteinsMaetschke, 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 |
