Protein fold recognition using genetic algorithm optimized voting scheme and profile bigram H Saini, G Raicar, SP Lal, A Dehzangi, S Imoto, A Sharma Journal of Software 11 (8), 756-767, 2016 | 33 | 2016 |
Improving protein fold recognition and structural class prediction accuracies using physicochemical properties of amino acids G Raicar, H Saini, A Dehzangi, S Lal, A Sharma Journal of theoretical biology 402, 117-128, 2016 | 28 | 2016 |
Probabilistic expression of spatially varied amino acid dimers into general form of Chou׳ s pseudo amino acid composition for protein fold recognition H Saini, G Raicar, A Sharma, S Lal, A Dehzangi, J Lyons, KK Paliwal, ... Journal of theoretical biology 380, 291-298, 2015 | 27 | 2015 |
Protein structural class prediction via k-separated bigrams using position specific scoring matrix H Saini, G Raicar, A Sharma, S Lal, A Dehzangi, R Ananthanarayanan, ... Journal of Advanced Computational Intelligence 18 (4), 474-479, 2014 | 23 | 2014 |
Subcellular localization for Gram positive and Gram negative bacterial proteins using linear interpolation smoothing model H Saini, G Raicar, A Dehzangi, S Lal, A Sharma Journal of theoretical biology 386, 25-33, 2015 | 17 | 2015 |
Gene masking-a technique to improve accuracy for cancer classification with high dimensionality in microarray data H Saini, SP Lal, VV Naidu, VW Pickering, G Singh, T Tsunoda, A Sharma BMC Medical Genomics 9, 261-269, 2016 | 10 | 2016 |
Genetic algorithm for an optimized weighted voting scheme incorporating k-separated bigram transition probabilities to improve protein fold recognition H Saini, G Raicar, S Lal, A Dehzangi, J Lyons, KK Paliwal, S Imoto, ... Asia-Pacific World Congress on Computer Science and Engineering, 1-7, 2014 | 5 | 2014 |
EXPLORING TECHNIQUES FOR OPTIMAL FEATURE AND CLASSIFIER SELECTION FOR PROTEIN MODELING, FUNCTION, AND FOLD RECOGNITION H Saini | | |