| 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 | 347 | 2015 |
| 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 | 253 | 2015 |
| 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 | 157 | 2013 |
| 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 | 155 | 2014 |
| 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 | 142 | 2017 |
| 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 | 97 | 2016 |
| 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 | 84 | 2015 |
| 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 | 81 | 2008 |
| 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 | 77 | 2018 |
| 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 | 76 | 2014 |
| 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), 1-11, 2013 | 55 | 2013 |
| Preference for 20-40 ms window duration in speech analysis KK Paliwal, JG Lyons, KK Wójcicki 2010 4th International Conference on Signal Processing and Communication …, 2010 | 53 | 2010 |
| 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 | 53 | 2008 |
| 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 | 51 | 2018 |
| 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 | 46 | 2014 |
| 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), 1-13, 2014 | 43 | 2014 |
| 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 | 39 | 2015 |
| 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 | 35 | 2014 |
| Protein fold recognition using HMM–HMM alignment and dynamic programming J Lyons, KK Paliwal, A Dehzangi, R Heffernan, T Tsunoda, A Sharma Journal of Theoretical Biology 393, 67-74, 2016 | 33 | 2016 |
| 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), 1-8, 2015 | 33 | 2015 |
Kuldip PaliwalProfessor (Chair, Communication and Information Engineering), Griffith University, BrisbaneVerified email at griffith.edu.au
