|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
|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
|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
|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
|Protein Fold Recognition Using Genetic Algorithm Optimized Voting Scheme and Profile Bigram.|
H Saini, G Raicar, SP Lal, A Dehzangi, S Imoto, A Sharma
JSW 11 (8), 756-767, 2016
|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 (3), 74, 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
|EXPLORING TECHNIQUES FOR OPTIMAL FEATURE AND CLASSIFIER SELECTION FOR PROTEIN MODELING, FUNCTION, AND FOLD RECOGNITION|