| 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, 2015 | 236 | 2015 |
| Fast principal component analysis using fixed-point algorithm A Sharma, KK Paliwal Pattern Recognition Letters 28 (10), 1151-1155, 2007 | 208 | 2007 |
| 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 | 200 | 2015 |
| A top-r feature selection algorithm for microarray gene expression data A Sharma, S Imoto, S Miyano IEEE/ACM Transactions on Computational Biology and Bioinformatics 9 (3), 754-764, 2012 | 181 | 2012 |
| 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 | 124 | 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 | 111 | 2014 |
| Intrusion detection using text processing techniques with a kernel based similarity measure A Sharma, AK Pujari, KK Paliwal computers & security 26 (7-8), 488-495, 2007 | 93 | 2007 |
| SPIDER2: A Package to Predict Secondary Structure, Accessible Surface Area, and Main-Chain Torsional Angles by Deep Neural Networks Y Yang, R Heffernan, JL K. Paliwal, A Dehzangi, A Sharma, J Wang, ... Predicting Protein Secondary Structure 1484, 2017 | 81 | 2017 |
| Cancer classification by gradient LDA technique using microarray gene expression data A Sharma, KK Paliwal Data & Knowledge Engineering 66 (2), 338-347, 2008 | 81 | 2008 |
| Linear discriminant analysis for the small sample size problem: an overview A Sharma, KK Paliwal International Journal of Machine Learning and Cybernetics 6 (3), 443-454, 2015 | 72 | 2015 |
| Class-dependent PCA, MDC and LDA: A combined classifier for pattern classification A Sharma, KK Paliwal, GC Onwubolu Pattern Recognition 39 (7), 1215-1229, 2006 | 70 | 2006 |
| 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 | 67 | 2015 |
| Null space based feature selection method for gene expression data A Sharma, S Imoto, S Miyano, V Sharma International Journal of Machine Learning and Cybernetics 3 (4), 269-276, 2012 | 67 | 2012 |
| 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 | 66 | 2016 |
| 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 | 60 | 2014 |
| A feature selection method using improved regularized linear discriminant analysis A Sharma, KK Paliwal, S Imoto, S Miyano Machine Vision and Applications 25 (3), 775-786, 2014 | 53 | 2014 |
| A combination of feature extraction methods with an ensemble of different classifiers for protein structural class prediction problem A Dehzangi, K Paliwal, A Sharma, O Dehzangi, A Sattar IEEE/ACM transactions on computational biology and bioinformatics 10 (3 …, 2013 | 53 | 2013 |
| Principal component analysis using QR decomposition A Sharma, KK Paliwal, S Imoto, S Miyano International Journal of Machine Learning and Cybernetics 4 (6), 679-683, 2013 | 52 | 2013 |
| 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 | 47 | 2013 |
| A deep learning approach for motor imagery EEG signal classification S Kumar, A Sharma, K Mamun, T Tsunoda 2016 3rd Asia-Pacific World Congress on Computer Science and Engineering …, 2016 | 46 | 2016 |
