| NFIA controls telencephalic progenitor cell differentiation through repression of the Notch effector Hes1 M Piper, G Barry, J Hawkins, S Mason, C Lindwall, E Little, A Sarkar, ... Journal of Neuroscience 30 (27), 9127-9139, 2010 | 153 | 2010 |
| Prediction of subcellular localization using sequence-biased recurrent networks M Bodén, J Hawkins Bioinformatics 21 (10), 2279-2286, 2005 | 153 | 2005 |
| Detecting and sorting targeting peptides with neural networks and support vector machines J Hawkins, M Bodén Journal of Bioinformatics and Computational Biology 4 (01), 1-18, 2006 | 77 | 2006 |
| The applicability of recurrent neural networks for biological sequence analysis J Hawkins, M Bodén IEEE/ACM Transactions on Computational Biology and Bioinformatics 2 (3), 243-253, 2005 | 69 | 2005 |
| Predicting nuclear localization J Hawkins, L Davis, M Bodén Journal of proteome research 6 (4), 1402-1409, 2007 | 44 | 2007 |
| Identifying novel peroxisomal proteins J Hawkins, D Mahony, S Maetschke, M Wakabayashi, RD Teasdale, ... Proteins: Structure, Function, and Bioinformatics 69 (3), 606-616, 2007 | 33 | 2007 |
| Assessing phylogenetic motif models for predicting transcription factor binding sites J Hawkins, C Grant, WS Noble, TL Bailey Bioinformatics 25 (12), i339-i347, 2009 | 31 | 2009 |
| Studies on the inference of protein binding regions across fold space based on structural similarities J Teyra, J Hawkins, H Zhu, MT Pisabarro Proteins: Structure, Function, and Bioinformatics 79 (2), 499-508, 2011 | 11 | 2011 |
| Improved access to sequential motifs: A note on the architectural bias of recurrent networks M Bodén, J Hawkins IEEE transactions on neural networks 16 (2), 491-494, 2005 | 10 | 2005 |
| Reduced false positives in PDZ binding prediction using sequence and structural descriptors JC Hawkins, H Zhu, J Teyra, MT Pisabarro IEEE/ACM Transactions on Computational Biology and Bioinformatics 9 (5 …, 2012 | 7 | 2012 |
| The statistical power of phylogenetic motif models J Hawkins, TL Bailey Annual International Conference on Research in Computational Molecular …, 2008 | 5 | 2008 |
| Comparing SVM sequence kernels: A protein subcellular localization theme L Davis, J Hawkins, S Maetschke, M Bodén ACM International Conference Proceeding Series 246, 39-47, 2006 | 5 | 2006 |
| Predicting peroxisomal proteins J Hawkins, M Bodén 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and …, 2005 | 5 | 2005 |
| Exploiting sequence dependencies in the prediction of peroxisomal proteins M Wakabayashi, J Hawkins, S Maetschke, M Bodén International Conference on Intelligent Data Engineering and Automated …, 2005 | 4 | 2005 |
| Rational Structure-Based Rescaffolding Approach to De Novo Design of Interleukin 10 (IL-10) Receptor-1 Mimetics G Ruiz-Gomez, JC Hawkins, J Philipp, G Künze, R Wodtke, R Löser, ... PloS one 11 (4), e0154046, 2016 | 3 | 2016 |
| Chapter 23 Towards a Network Pattern Language for Complex Systems J Watson, J Hawkins, D Bradley, D Dassanayake, J Wiles, J Hanan Recent Advances in Artificial Life, 309-317, 2005 | 3 | 2005 |
| Minimum viable model estimates for machine learning projects J Hawkins arXiv preprint arXiv:2101.00346, 2021 | 2 | 2021 |
| Evolving discriminative motifs for recognizing proteins imported to the peroxisome via the PTS2 pathway M Bodén, J Hawkins 2006 IEEE International Conference on Evolutionary Computation, 2750-2755, 2006 | 2 | 2006 |
| MinViME/Minimum Viable Model Estimator J Hawkins Software Impacts 9, 2021 | 1 | 2021 |
| Detecting residues in targeting peptides M Bodén, J Hawkins Proceedings Of The 3rd Asia-Pacific Bioinformatics Conference, 131-140, 2005 | 1 | 2005 |
Mikael BodenThe University of Queensland在 uq.edu.au 的电子邮件经过验证
