Alok Sharma
Alok Sharma
Senior Scientist at RIKEN; University of the South Pacific; Griffith University
Verified email at griffith.edu.au - Homepage
Title
Cited by
Cited by
Year
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
2672015
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
2252015
Fast principal component analysis using fixed-point algorithm
A Sharma, KK Paliwal
Pattern Recognition Letters 28 (10), 1151-1155, 2007
2152007
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
1962012
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
1362013
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
1222014
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
992017
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
972007
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
922015
Cancer classification by gradient LDA technique using microarray gene expression data
A Sharma, KK Paliwal
Data & Knowledge Engineering 66 (2), 338-347, 2008
862008
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
762015
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
752016
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
692012
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
692006
Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen
MP Menden, D Wang, MJ Mason, B Szalai, KC Bulusu, Y Guan, T Yu, ...
Nature Communications 10 (2674), 1-17, 2019
662019
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
662014
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
582016
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
572014
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
572013
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
562013
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Articles 1–20