Seguir
John Hawkins
John Hawkins
Affiliated Researcher - Transitional AI Research UNSW
Dirección de correo verificada de sydney.edu.au - Página principal
Título
Citado por
Citado por
Año
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
1542010
Prediction of subcellular localization using sequence-biased recurrent networks
M Bodén, J Hawkins
Bioinformatics 21 (10), 2279-2286, 2005
1532005
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
782006
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
682005
Predicting nuclear localization
J Hawkins, L Davis, M Bodén
Journal of proteome research 6 (4), 1402-1409, 2007
442007
Identifying novel peroxisomal proteins
J Hawkins, D Mahony, S Maetschke, M Wakabayashi, RD Teasdale, ...
Proteins: Structure, Function, and Bioinformatics 69 (3), 606-616, 2007
332007
Assessing phylogenetic motif models for predicting transcription factor binding sites
J Hawkins, C Grant, WS Noble, TL Bailey
Bioinformatics 25 (12), i339-i347, 2009
302009
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
112011
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
102005
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
72012
The statistical power of phylogenetic motif models
J Hawkins, TL Bailey
Annual International Conference on Research in Computational Molecular …, 2008
52008
Comparing SVM sequence kernels: A protein subcellular localization theme
L Davis, J Hawkins, S Maetschke, M Bodén
Proceedings of the 2006 workshop on Intelligent systems for bioinformatics …, 2006
52006
Predicting peroxisomal proteins
J Hawkins, M Bodén
2005 IEEE Symposium on Computational Intelligence in Bioinformatics and …, 2005
52005
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
42005
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
32016
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
32005
Minimum viable model estimates for machine learning projects
J Hawkins
arXiv preprint arXiv:2101.00346, 2021
22021
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
22006
Detecting residues in targeting peptides
M Bodén, J Hawkins
Proceedings Of The 3rd Asia-Pacific Bioinformatics Conference, 131-140, 2005
12005
Estimating Gaze Duration Error from Eye Tracking Data
J Hawkins
Proceedings of the 2023 5th International Conference on Image, Video and …, 2023
2023
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20