Jack Hanson
Jack Hanson
Former Signal Processing Laboratory, Griffith University
Verified email at
Cited by
Cited by
Improving protein disorder prediction by deep bidirectional long short-term memory recurrent neural networks
J Hanson, Y Yang, K Paliwal, Y Zhou
Bioinformatics 33 (5), 685-692, 2017
Sixty-five years of the long march in protein secondary structure prediction: the final stretch?
Y Yang, J Gao, J Wang, R Heffernan, J Hanson, K Paliwal, Y Zhou
Briefings in bioinformatics 19 (3), 482-494, 2018
RNA secondary structure prediction using an ensemble of two-dimensional deep neural networks and transfer learning
J Singh, J Hanson, K Paliwal, Y Zhou
Nature communications 10 (1), 5407, 2019
Critical assessment of protein intrinsic disorder prediction
M Necci, D Piovesan, SCE Tosatto
Nature methods 18 (5), 472-481, 2021
Accurate Prediction of Protein Contact Maps by Coupling Residual Two-Dimensional Bidirectional Long Short-Term Memory with Convolutional Neural Networks
J Hanson, K Paliwal, T Litfin, Y Yang, Y Zhou
Bioinformatics, 2018
Improving prediction of protein secondary structure, backbone angles, solvent accessibility and contact numbers by using predicted contact maps and an ensemble of recurrent and …
J Hanson, KK Paliwal, T Litfin, Y Yang, Y Zhou
Bioinformatics, 2018
SPOT-Disorder2: improved protein intrinsic disorder prediction by ensembled deep learning
J Hanson, KK Paliwal, T Litfin, Y Zhou
Genomics, proteomics & bioinformatics 17 (6), 645-656, 2019
SPIN2: Predicting sequence profiles from protein structures using deep neural networks
J O'Connell, Z Li, J Hanson, R Heffernan, J Lyons, K Paliwal, A Dehzangi, ...
Proteins: Structure, Function, and Bioinformatics 86 (6), 629-633, 2018
Accurate single-sequence prediction of protein intrinsic disorder by an ensemble of deep recurrent and convolutional architectures
J Hanson, K Paliwal, Y Zhou
Journal of chemical information and modeling 58 (11), 2369-2376, 2018
DEPICTER: intrinsic disorder and disorder function prediction server
A Barik, A Katuwawala, J Hanson, K Paliwal, Y Zhou, L Kurgan
Journal of molecular biology 432 (11), 3379-3387, 2020
Identifying molecular recognition features in intrinsically disordered regions of proteins by transfer learning
J Hanson, T Litfin, K Paliwal, Y Zhou
Bioinformatics 36 (4), 1107-1113, 2020
Large expert-curated database for benchmarking document similarity detection in biomedical literature search
P Brown, AC Tan, MA El-Esawi, T Liehr, O Blanck, DP Gladue, ...
Database 2019, 2019
Getting to know your neighbor: protein structure prediction comes of age with contextual machine learning
J Hanson, KK Paliwal, T Litfin, Y Yang, Y Zhou
Journal of Computational Biology 27 (5), 796-814, 2020
Detecting proline and non-proline cis isomers in protein structures from sequences using deep residual ensemble learning
J Singh, J Hanson, R Heffernan, K Paliwal, Y Yang, Y Zhou
Journal of chemical information and modeling 58 (9), 2033-2042, 2018
Spectral subband centroids for robust speaker identification using marginalization-based missing feature theory
A Nicolson, J Hanson, J Lyons, K Paliwal
International Journal of Signal Processing Systems 6 (1), 12-16, 2018
SPOT‐Fold: Fragment‐Free Protein Structure Prediction Guided by Predicted Backbone Structure and Contact Map
Y Cai, X Li, Z Sun, Y Lu, H Zhao, J Hanson, K Paliwal, T Litfin, Y Zhou, ...
Journal of Computational Chemistry 41 (8), 745-750, 2020
CAID prediction portal: a comprehensive service for predicting intrinsic disorder and binding regions in proteins
A Del Conte, A Bouhraoua, M Mehdiabadi, D Clementel, AM Monzon, ...
Nucleic Acids Research, gkad430, 2023
Protein Structure Prediction by Recurrent and Convolutional Deep Neural Network Architectures
J Hanson
Nov, 2018
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