|
2006 Journal Article Predicting the solvent accessibility of transmembrane residues from protein sequenceYuan, 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 |
|
2006 Journal Article Identifying sequence regions undergoing conformational change via predicted continuum secondary structureBoden, 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 |
|
2006 Journal Article Prediction of protein continuum secondary structure with probabilistic models based on NMR solved structuresBoden, 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 |
|
2006 Journal Article STAR: predicting recombination sites from amino acid sequenceBauer, 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 |
|
2005 Journal Article Prediction of subcellular localization using sequence-biased recurrent networksBoden, Mikael and Hawkins, John (2005). Prediction of subcellular localization using sequence-biased recurrent networks. Bioinformatics, 21 (10), 2279-2286. doi: 10.1093/bioinformatics/bti372 |
|
2005 Journal Article The applicability of recurrent neural networks for biological sequence analysisHawkins, J. and Boden, M. (2005). The applicability of recurrent neural networks for biological sequence analysis. IEEE-ACM Transactions on Computational Biology and Bioinformatiocs, 2 (3), 243-253. doi: 10.1109/TCBB.2005.44 |
|
2005 Journal Article Improved Access To Sequential Motifs: A Note On The Architectural Bias Of Recurrent NetworksBoden, Mikael and Hawkins, John (2005). Improved Access To Sequential Motifs: A Note On The Architectural Bias Of Recurrent Networks. IEEE Transactions on Neural Networks, 16 (2), 491-494. doi: 10.1109/TNN.2005.844086 |
|
2004 Journal Article Generalization by symbolic abstraction in cascaded recurrent networksBoden, Mikael (2004). Generalization by symbolic abstraction in cascaded recurrent networks. Neurocomputing, 57 (1-4), 87-104. doi: 10.1016/j.neucom.2004.01.006 |
|
2003 Journal Article Learning the dynamics of embedded clausesBoden, M. and Blair, A. (2003). Learning the dynamics of embedded clauses. Applied Intelligence, 19 (1-2), 51-63. doi: 10.1023/A:1023816706954 |
|
2002 Journal Article On learning context-free and context-sensitive languagesBoden, Mikael and Wiles, Janet (2002). On learning context-free and context-sensitive languages. IEEE Transactions on Neural Networks, 13 (2), 491-493. doi: 10.1109/72.991436 |
|
2000 Journal Article Context-free and context-sensitive dynamics in recurrent neural networksBoden, Mikael and Wiles, Janet (2000). Context-free and context-sensitive dynamics in recurrent neural networks. Connection Science: journal of neural computing, artificial intelligence, and cognitive research, 12 (3-4), 197-210. doi: 10.1080/095400900750060122 |
|
2000 Journal Article Semantic systematicity and context in connectionist networksBoden, Mikael and Niklasson, Lars (2000). Semantic systematicity and context in connectionist networks. Connection Science, 12 (2), 111-142. doi: 10.1080/09540090050129754 |
|
1993 Journal Article ConnectionismBoden, MB and Niklasson, LF (1993). Connectionism. Artificial Intelligence Review, 7 (5), 259-260. doi: 10.1007/BF00849053 |
