James Lyons
James Lyons
Unaffiliated
Verified email at griffithuni.edu.au
Title
Cited by
Cited by
Year
Improving prediction of secondary structure, local backbone angles and solvent accessible surface area of proteins by iterative deep learning
R Heffernan, K Paliwal, J Lyons, A Dehzangi, A Sharma, J Wang, A Sattar, ...
Scientific reports 5 (1), 1-11, 2015
2552015
Gram-positive and Gram-negative protein subcellular localization by incorporating evolutionary-based descriptors into Chou׳ s general PseAAC
A Dehzangi, R Heffernan, A Sharma, J Lyons, K Paliwal, A Sattar
Journal of theoretical biology 364, 284-294, 2015
2152015
A feature extraction technique using bi-gram probabilities of position specific scoring matrix for protein fold recognition
A Sharma, J Lyons, A Dehzangi, KK Paliwal
Journal of theoretical biology 320, 41-46, 2013
1322013
Predicting backbone Cα angles and dihedrals from protein sequences by stacked sparse auto‐encoder deep neural network
J Lyons, A Dehzangi, R Heffernan, A Sharma, K Paliwal, A Sattar, Y Zhou, ...
Journal of computational chemistry 35 (28), 2040-2046, 2014
1162014
Spider2: A package to predict secondary structure, accessible surface area, and main-chain torsional angles by deep neural networks
Y Yang, R Heffernan, K Paliwal, J Lyons, A Dehzangi, A Sharma, J Wang, ...
Prediction of protein secondary structure, 55-63, 2017
922017
Predict gram-positive and gram-negative subcellular localization via incorporating evolutionary information and physicochemical features into Chou's general PseAAC
R Sharma, A Dehzangi, J Lyons, K Paliwal, T Tsunoda, A Sharma
IEEE transactions on nanobioscience 14 (8), 915-926, 2015
722015
Highly accurate sequence-based prediction of half-sphere exposures of amino acid residues in proteins
R Heffernan, A Dehzangi, J Lyons, K Paliwal, A Sharma, J Wang, A Sattar, ...
Bioinformatics 32 (6), 843-849, 2016
702016
Exploiting conjugate symmetry of the short-time Fourier spectrum for speech enhancement
K Wójcicki, M Milacic, A Stark, J Lyons, K Paliwal
IEEE Signal processing letters 15, 461-464, 2008
682008
A tri-gram based feature extraction technique using linear probabilities of position specific scoring matrix for protein fold recognition
KK Paliwal, A Sharma, J Lyons, A Dehzangi
IEEE transactions on nanobioscience 13 (1), 44-50, 2014
622014
A strategy to select suitable physicochemical attributes of amino acids for protein fold recognition
A Sharma, KK Paliwal, A Dehzangi, J Lyons, S Imoto, S Miyano
BMC bioinformatics 14 (1), 233, 2013
472013
Noise driven short-time phase spectrum compensation procedure for speech enhancement
AP Stark, KK Wójcicki, JG Lyons, KK Paliwal
Ninth annual conference of the international speech communication association, 2008
462008
Proposing a highly accurate protein structural class predictor using segmentation-based features
A Dehzangi, K Paliwal, J Lyons, A Sharma, A Sattar
BMC genomics 15 (S1), S2, 2014
412014
A segmentation-based method to extract structural and evolutionary features for protein fold recognition
A Dehzangi, K Paliwal, J Lyons, A Sharma, A Sattar
IEEE/ACM Transactions on Computational Biology and Bioinformatics 11 (3 …, 2014
382014
Protein fold recognition by alignment of amino acid residues using kernelized dynamic time warping
J Lyons, N Biswas, A Sharma, A Dehzangi, KK Paliwal
Journal of theoretical biology 354, 137-145, 2014
322014
Gram-positive and gram-negative subcellular localization using rotation forest and physicochemical-based features
A Dehzangi, S Sohrabi, R Heffernan, A Sharma, J Lyons, K Paliwal, ...
BMC bioinformatics 16 (S4), S1, 2015
292015
Enhancing protein fold prediction accuracy using evolutionary and structural features
A Dehzangi, K Paliwal, J Lyons, A Sharma, A Sattar
IAPR International Conference on Pattern Recognition in Bioinformatics, 196-207, 2013
282013
Advancing the accuracy of protein fold recognition by utilizing profiles from hidden Markov models
J Lyons, A Dehzangi, R Heffernan, Y Yang, Y Zhou, A Sharma, K Paliwal
IEEE transactions on nanobioscience 14 (7), 761-772, 2015
272015
Improving protein fold recognition using the amalgamation of evolutionary-based and structural based information
KK Paliwal, A Sharma, J Lyons, A Dehzangi
BMC bioinformatics 15 (S16), S12, 2014
242014
Single‐sequence‐based prediction of protein secondary structures and solvent accessibility by deep whole‐sequence learning
R Heffernan, K Paliwal, J Lyons, J Singh, Y Yang, Y Zhou
Journal of computational chemistry 39 (26), 2210-2216, 2018
222018
Exploring potential discriminatory information embedded in pssm to enhance protein structural class prediction accuracy
A Dehzangi, K Paliwal, J Lyons, A Sharma, A Sattar
IAPR International Conference on Pattern Recognition in Bioinformatics, 208-219, 2013
222013
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Articles 1–20