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2022 Conference Publication H3K27me3 predicted regulation of gene expression linked to calcium quantification in Nelore muscleAfonso, J., Shim, W.J., Boden, M., Palpant, N., Fortes, M.R.S., Diniz, W.J.S., Lima, A.O., Rocha, M.I.P., Cardoso, T.F., Bruscadin, J.J., Gromboni, C.F., Nogueira, A.R.A., Mourão, G.B., Zerlotini, A., Coutinho, L.L. and Regitano, L.C.A. (2022). H3K27me3 predicted regulation of gene expression linked to calcium quantification in Nelore muscle. 12th World Congress on Genetics Applied to Livestock Production (WCGALP), Rotterdam, Netherlands, 3-8 July 2022. Wageningen, Netherlands: Wageningen Academic Publishers. doi: 10.3920/978-90-8686-940-4_553 |
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2019 Conference Publication Common regulatory targets of NFIA and NFIX mediate postnatal cerebellar developmentHarvey, Tracey, Fraser, James, Essebier, Alexandra, Brown, Alexander, Davila, Raul, Boden, Mikael, Gronostajski, Richard and Piper, Michael (2019). Common regulatory targets of NFIA and NFIX mediate postnatal cerebellar development. 10th IBRO World Congress of Neuroscience, Daegu, South Korea, 21-25 September 2019. Amsterdam, Netherlands: Elsevier. doi: 10.1016/j.ibror.2019.07.1042 |
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2014 Conference Publication Importin alpha and nonclassical nuclear localization signalChang, Chiung-Wen, Couñago, Rafael, Williams, Simon, Bodén, Mikael and Kobe, Boštjan (2014). Importin alpha and nonclassical nuclear localization signal. XXIII IUCr Congress, Montreal, Canada, 5-12 August 2014. Hoboken, NJ United States: Wiley-Blackwell. doi: 10.1107/s205327331408365x |
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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 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 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 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 |
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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 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 Understanding prediction systems for HLA-binding peptides and t-cell epitope identificationYou, 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 |
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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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2006 Conference Publication Evolving discriminative motifs for recognizing proteins imported to the peroxisome via the PTS2 pathwayBoden, 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 |
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2006 Conference Publication Comparing SVM sequence kernels: A protein subcellular localization themeDavis, 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.. |
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2006 Conference Publication Multi-stage redundancy reduction: effective utilisation of small protein data setsHawkins, 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.. |
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2006 Conference Publication Higher order HMMs for localization prediction of transmembrance proteinsMaetschke, 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.. |
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2005 Conference Publication Predicting structural disruption of proteins caused by crossoverBauer, 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 |
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2005 Conference Publication Heuristic algorithm for computing reversal distance with multigene families via binary integer programmingSuksawatchon, 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 |
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2005 Conference Publication Predicting peroxisomal proteinsHawkins, 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 |
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2005 Conference Publication Predicting peroxisomal proteinsHawkins, 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. |
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2005 Conference Publication Predicting structural disruption of proteins caused by crossoverBauer, Denis C., Boden, Mikael, Thier, Ricarda and Yuan, Zheng (2005). Predicting structural disruption of proteins caused by crossover. IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, San Diego, U.S.A., 14-15 November 2005. Piscataway, NJ, U.S.A.: IEEE Press. |
