Differences
This shows you the differences between two versions of the page.
Both sides previous revision Previous revision Next revision | Previous revision | ||
research:publications [2025/01/21 15:27] – mikael | research:publications [2025/02/15 19:06] (current) – mikael | ||
---|---|---|---|
Line 2: | Line 2: | ||
- Chen R, Foley G and Bodén M. Learning the Language of Phylogeny with MSA Transformer. [[https:// | - Chen R, Foley G and Bodén M. Learning the Language of Phylogeny with MSA Transformer. [[https:// | ||
+ | - Sinniah E et al. Epigenetic constraint of cellular genomes evolutionarily links genetic variation to function [[https:// | ||
==== Journal papers ==== | ==== Journal papers ==== | ||
- | - Shen S, Werner T, Lukowski SW, Andersen S, Sun Y, Shim WJ, Mizikovsky D, Kobayashi S, Outhwaite J, Chin HS, Chen X, Chapman G, Martin E, Xia D, Pham D, Su Z, Kim D, Yang P, Tan MC, Sinniah E, Zhao Q, Negi S, Redd MA, Powell JE, Dunwoodie SL, Tam P, Bodén M, Ho JWK, Nguyen Q and Palpant NJ. (2025) Atlas of multilineage stem cell differentiation reveals TMEM88 as a developmental regulator of blood pressure. //Nature Communications// | + | - Shen S, Werner T, Lukowski SW, Andersen S, Sun Y, Shim WJ, Mizikovsky D, Kobayashi S, Outhwaite J, Chin HS, Chen X, Chapman G, Martin E, Xia D, Pham D, Su Z, Kim D, Yang P, Tan MC, Sinniah E, Zhao Q, Negi S, Redd MA, Powell JE, Dunwoodie SL, Tam P, Bodén M, Ho JWK, Nguyen Q and Palpant NJ. (2025) Atlas of multilineage stem cell differentiation reveals TMEM88 as a developmental regulator of blood pressure. //Nature Communications// |
- Tule S, Foley G and Bodén M. (2025) Do Protein Language Models Learn Phylogeny? //Briefings in Bioinformatics// | - Tule S, Foley G and Bodén M. (2025) Do Protein Language Models Learn Phylogeny? //Briefings in Bioinformatics// | ||
- Zhao QY, Shim WJ, Sun Y, Sinniah E, Shen S, Bodén M and Palpant N. (2025) TRIAGE: An R Package for Regulatory Gene Analysis. //Briefings in Bioinformatics// | - Zhao QY, Shim WJ, Sun Y, Sinniah E, Shen S, Bodén M and Palpant N. (2025) TRIAGE: An R Package for Regulatory Gene Analysis. //Briefings in Bioinformatics// | ||
Line 86: | Line 87: | ||
- Hawkins J, Mahony D, Maetschke S, Wakabayashi M, Teasdale RD and Bodén M (2007) Identifying novel peroxisomal proteins. // | - Hawkins J, Mahony D, Maetschke S, Wakabayashi M, Teasdale RD and Bodén M (2007) Identifying novel peroxisomal proteins. // | ||
- Hawkins J, Davis L and Bodén M (2007) // | - Hawkins J, Davis L and Bodén M (2007) // | ||
- | - Bauer, D., Bodén M., Thier, R. and Gillam, E. M. STAR: Predicting recombination sites from amino acid sequence. //BMC Bioinformatics//, | + | - Bauer D, Bodén M, Thier R and Gillam |
- | - Bodén, M. and Bailey, T. L. Identifying sequence regions undergoing conformational change via predicted continuum secondary structure. // | + | - Bodén M and Bailey |
- | - Bodén, M., Yuan, Z. and Bailey, T. L. Prediction of protein continuum secondary structure with probabilistic models based on NMR solved structures. //BMC Bioinformatics// | + | - Bodén M, Yuan Z and Bailey |
- | - Yuan, Z., Zhang, F., Davis, M. J., Bodén | + | - Yuan Z, Zhang F, Davis MJ, Bodén M and Teasdale |
- | - Hawkins, J. and Bodén | + | - Hawkins J and Bodén M. Detecting and sorting targeting peptides with recurrent networks and support vector machines. //Journal of Bioinformatics and Computational Biology//, 4(1), 2006. |
- | - Bodén, M. and Hawkins, J. Prediction of subcellular localisation using sequence-biased recurrent networks. // | + | - Bodén M and Hawkins J. Prediction of subcellular localisation using sequence-biased recurrent networks. // |
- | - Hawkins, J. and Bodén | + | - Hawkins J and Bodén M. The applicability of recurrent neural networks for biological sequence analysis. //IEEE/ACM Transactions on Computational Biology and Bioinformatics//, |
- | - Bodén, M. and Hawkins, J. Improved access to sequential motifs: A note on the architectural bias of recurrent networks. //IEEE Transactions on Neural Networks//. 16(2), 2005. | + | - Bodén M and Hawkins J. Improved access to sequential motifs: A note on the architectural bias of recurrent networks. //IEEE Transactions on Neural Networks//. 16(2), 2005. |
- | - Bodén, M. // | + | - Bodén M. // |
- | - Bodén, M. and Blair, A. Learning the dynamics of embedded clauses, Applied Intelligence: | + | - Bodén M and Blair A. Learning the dynamics of embedded clauses, Applied Intelligence: |
- | - Bodén, M. and Wiles, J. On learning context free and context sensitive languages, //IEEE Transactions on Neural Networks//. 13(2), pp. 491-493, 2002. | + | - Bodén M and Wiles J. On learning context free and context sensitive languages, //IEEE Transactions on Neural Networks//. 13(2), pp. 491-493, 2002. |
- | - Bodén, M. and Wiles, J., Context-free and context-sensitive dynamics in recurrent neural networks, // | + | - Bodén M and Wiles J. Context-free and context-sensitive dynamics in recurrent neural networks, // |
- | - Bodén, M. and Niklasson, L., Semantic systematicity and context in connectionist Networks, // | + | - Bodén M and Niklasson L. Semantic systematicity and context in connectionist Networks, // |
==== Refereed conference papers (since 2000) ==== | ==== Refereed conference papers (since 2000) ==== |