James Lyons
James Lyons
Unaffiliated
Verified email at griffithuni.edu.au
TitleCited byYear
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, 11476, 2015
1832015
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
1522015
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
992013
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
832014
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
542008
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
502017
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
492014
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, 2015
462015
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
422013
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
392015
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 (1), S2, 2014
382014
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
382008
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 (TCBB) 11 …, 2014
272014
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
262014
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 (4), S1, 2015
232015
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
232013
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
212015
Evaluation of sequence features from intrinsically disordered regions for the estimation of protein function
A Sharma, A Dehzangi, J Lyons, S Imoto, S Miyano, K Nakai, A Patil
PloS one 9 (2), e89890, 2014
182014
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
182013
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 (16), S12, 2014
172014
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Articles 1–20