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Items where Author is "Sharma, Alokanand" |
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Group by: Item Type | No Grouping Jump to: Book | Book Chapter | Conference Proceedings | Journal Article | Professional and Technical Reports | Other Number of items: 124. BookSharma, Alokanand (2012) Statistical models for pattern analysis: linear models for dimensionality reduction and statistical pattern recognition. LAP LAMBERT Academic Publishing, Germany (Herstellung, Deutschland). ISBN 978-3846533314 Book ChapterLopez, Yosvany and Kamola, P.J. and Sharma, Ronesh and Shigemizu, Daichi and Tsunoda, Tatsuhiko and Sharma, Alokanand (2018) Computational pipelines and workflows in bioinformatics. In: Encyclopaedia of Bioinformatics and Computational Biology. Elsevier, Oxford, pp. 113-134. ISBN 9780128114148 Yang, Y. and Heffernan, R. and Paliwal, K. and Lyons, J. and Dehzangi, A. and Sharma, Alokanand and Wang, J. and Sattar, A. and Zhou, Y. (2017) SPIDER2: a package to predict secondary structure, accessible surface area, and main - chain torsional angles by deep neural networks. In: Prediction of Protein Secondary Structure. Methods in Molecular Biology. Humana Press, New York, pp. 55-63. ISBN 9781493964048 Dehzangi, A. and Paliwal, K.K. and Sharma, Alokanand and Lyons, J. and Sattar, A. (2013) Protein fold recognition using an overlapping segmentation approach and a mixture of feature extraction models. In: Lecture Notes in Bioinformatics. Lecture Notes in Computer Science, 8272 . Springer International Publishing, Switzerland, pp. 32-43. ISBN Print 9783319036793 Online 9783319036809 Dehzangi, A. and Paliwal, K.K. and Lyons, J. and Sharma, Alokanand and Sattar, A. (2013) Enhancing protein fold prediction accuracy using evolutionary and structural features. In: Lecture Notes in Computer Science. Lecture Notes in Computer Science, 7986 . Springer Berlin Heidelberg, Switzerland, pp. 196-207. ISBN Print 9783642391583 Online 9783642391590 Dehzangi, A. and Paliwal, K.K. and Lyons, J. and Sharma, Alokanand and Sattar, A. (2013) Exploring potential discriminatory information embedded in PSSM to enhance protein structural class prediction accuracy. In: Lecture Notes in Bioinformatics. Lecture Notes in Computer Science, 7986 . Springer Berlin Heidelberg, Switzerland , pp. 208-219. ISBN Print 9783642391583 Online 9783642391590 Conference ProceedingsVans, Edwin and Sharma, Alokanand and Patil, Ashwini and Shigemizu, Daichi and Tsunoda, Tatsuhiko (2019) Clustering of small - sample single - cell RNA - seq data via feature clustering and selection. [Conference Proceedings] Kumar, Shiu and Sharma, Alokanand and Tsunoda, Tatsuhiko (2019) Subject - specific - frequency - band for motor imagery EEG signal recognition based on common spatial spectral pattern. [Conference Proceedings] Kumar, Shiu and Sharma, Alokanand and Mamun, Kabir and Tsunoda, Tatsuhiko (2017) A Deep Learning Approach for Motor Imagery EEG Signal Classification. [Conference Proceedings] Kumar, Shiu and Sharma, Ronesh and Sharma, Alokanand and Tsunoda, T. (2016) Decimation Filter with Common Spatial Pattern and Fishers Discriminant Analysis for Motor Imagery Classification. [Conference Proceedings] Kumar, Raneel and Lal, Sunil P. and Sharma, Alokanand (2016) Detecting denial of service attacks in the cloud. [Conference Proceedings] Kumar, Shiu and Sharma, Alokanand and Mamun, Kabir and Tsunoda, T. (2015) Application of cepstrum analysis and linear predictive coding for motor imaginary task classification. [Conference Proceedings] Sharma, Alokanand and Sharma, Ronesh and Dehzangi, A. and Lyons, J. and Paliwal, K.K. and Tsunoda, T. (2015) Importance of Dimensionality Reduction in Protein Fold Recognition. [Conference Proceedings] Saini, Harsh and Raicar, Gaurav and Lal, Sunil P. and Dehzangi, A. and Lyons, J. and Paliwal, K.K. and Imoto, S. and Miyano, S. and Sharma, Alokanand (2014) Genetic algorithm for an optimized weighted voting scheme incorporating k-separated bigram transition probabilities to improve protein fold recognition. [Conference Proceedings] Vachkov, G. and Sharma, Alokanand (2014) Growing radial basis function network models. [Conference Proceedings] Mamun, Kabir and Sharma, Alokanand and Hoque, A. S. M. and Szecsi, T. (2014) Remote Patient Physical Condition Monitoring Service Module for iWARD Hospital Robots. [Conference Proceedings] Vans, E. and Vachkov, G. and Sharma, Alokanand (2014) Vision Based Autonomous Path Tracking of a Mobile Robot using Fuzzy Logic. [Conference Proceedings] Parwal, A.K. and Parwal, G. and Sharma, Alokanand and Sharma, A.K. (2013) Design and implementation of fuzzy based control system for natural gas pipes system based on LabVIEW. [Conference Proceedings] Sharma, Alokanand and Onwubolu, Godfrey C. (2008) Intrusion detection system using hybrid differential evolution and group method of data handling approach. [Conference Proceedings] Sharma, Alokanand and Onwubolu, Godfrey C. (2007) A hybrid approach for modeling high dimensional medical data. [Conference Proceedings] Journal ArticleWardah, Wafaa and Dehzangi, Abdollah and Taherzadeh, G. and Rashid, Mahmood and Khan, Mohammad G.M. and Tsunoda, Tatsuhiko and Sharma, Alokanand (2020) Predicting protein-peptide binding sites with a Deep Convolutional Neural Network. Journal of Theoretical Biology, 110278 . TBC. ISSN 0022-5193 Chandra, Abel and Sharma, Alokanand and Dehzangi, Abdollah and Shigemizu, Daichi and Tsunoda, Tatsuhiko (2019) Bigram - PGK: phosphoglycerylation prediction using the technique of bigram probabilities of position specific scoring matrix. BMC Molecular and Cell Biology, 20 (57). pp. 1-9. ISSN 2661-8850 Sharma, Alokanand and Vans, Edwin and Shigemizu, Daichi and Boroevich, Keith A. and Tsunoda, Tatsuhiko (2019) DeepInsight: a methodology to transform a non - image data to an image for convolution neural network architecture. Scientific Reports, 9 (11399). pp. 1-7. ISSN 2045-2322 Wardah, Wafaa and Khan, Mohammad G.M. and Sharma, Alokanand and Rashid, Mahmood (2019) Protein secondary structure prediction using neural networks and deep learning: a review. Computational Biology and Chemistry, 81 . pp. 1-8. ISSN 1476-9271 Kumar, Shiu and Sharma, Alokanand and Tsunoda, Tatsuhiko (2019) Brain wave classification using long short - term memory based OPTICAL predictor. Scientific Reports, 9 (9153). pp. 1-9. ISSN NA Menden, Michael P. and Wang, Dennis and Mason, Mike J. and Szalai, Bence and Bulusu, Krishna C. and Guan, Yuanfang and Yu, Thomas and Kang, Jaewoo and Jeon, Minji and Wolfinger, Russ and Nguyen, Tin and Zaslavskiy, Mikhail and Sharma, Alokanand and Jang, In Sock and Ghazoui, Zara and Ahsen, Mehmet E. and Vogel, Robert and Neto, Elias Chaibub and Norman, Thea and Tang, Eric K. Y. and Garnett, Mathew J. and Di Veroli, Giovanni Y. and Fawell, Stephen and Stolovitzky, Gustavo and Guinney, Justin and Dry, Jonathan R. and Saez-Rodriguez, Julio (2019) Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen. Nature Communications, 10 (2674). Online. ISSN 2041-1723 Chandra, Abel and Sharma, Alokanand and Dehzangi, A. and Tsunoda, Tatsuhiko (2019) EvolStruct-Phogly: incorporating structural properties and evolutionary information from profile bigrams for the phosphoglycerylation prediction. BMC Genomics, 19 . p. 984. ISSN 1471-2164 Sharma, Alokanand and Lysenko, Artem and Lopez, Yosvany and Dehzangi, Abdollah and Sharma, Ronesh and Reddy, Hamendra M. and Sattar, Abdul and Tsunoda, Tatsuhiko (2019) HseSUMO: Sumoylation site prediction using half - sphere exposures of amino acids residues. BMC Genomics, 19 (9). pp. 1-7. ISSN 1471-2164 Muhammod, Rafsanjani and Ahmed, Sajid and Farid, Dewan M. and Shatabda, Swakkhar and Sharma, Alokanand and Dehzangi, Abdollah (2019) PyFeat: a python - based effective feature generation tool for DNA, RNA, and protein sequences. Bioinformatics, 165 . pp. 1-2. ISSN 1367-4803 Shigemizu, Daichi and Akiyama, Shintaro and Asanomi, Yuya and Boroevich, Keith and Sharma, Alokanand and Tsunoda, Tatsuhiko and Matsukuma, Kana and Ichikawa, Makiko and Sudo, Hiroko and Takizawa, Satoko and Sakurai, Takashi and Ozaki, Kouichi and Ochiya, Takahiro and Niida, Shumpei (2019) Risk prediction models for dementia constructed by supervised principal component analysis using miRNA expression data. Communications Biology, 2 (77). pp. 1-8. ISSN NA Sharma, Ronesh and Sharma, Alokanand and Patil, Ashwini and Tsunoda, Tatsuhiko (2019) Discovering MoRFs by trisecting intrinsically disordered protein sequence into terminals and middle regions. BMC Bioinformatics, 19 (13). pp. 155-163. ISSN 1471-2105 Reddy, Hamendra M. and Sharma, Alokanand and Dehzangi, Abdollah and Shigemizu, Daichi and Chandra, Abel and Tsunoda, Tatsuhiko (2019) GlyStruct: glycation prediction using structural properties of amino acid residues. BMC Bioinformatics, 19 (13). pp. 55-64. ISSN 1471-2105 Chandra, Abel and Sharma, Alokanand and Dehzangi, Abdollah and Ranganathan, Shoba and Jokhan, Anjeela D. and Chou, Kuo-Chen and Tsunoda, Tatsuhiko (2018) PhoglyStruct: prediction of phosphoglycerylated lysine residues using structural properties of amino acids. Scientific Reports, 8 (17923). pp. 1-11. ISSN 2045-2322 Dehzangi, Abdollah and Lopez, Yosvany and Taherzadeh, Ghazaleh and Sharma, Alokanand and Tsunoda, Tatsuhiko (2018) SumSec: accurate prediction of Sumoylation sites using predicted secondary structure. Molecules, 23 (12). pp. 1-13. ISSN 1420-3049 Lysenko, Artem and Sharma, Alokanand and Boroevich, Keith and Tsunoda, Tatsuhiko (2018) An integrative machine learning approach for prediction of toxicity - related drug safety. Life Science Alliance, 1 (6). pp. 1-14. ISSN 2575-1077 Sharma, Ronesh and Sharma, Alokanand and Raicar, Gaurav and Tsunoda, Tatsuhiko and Patil, Ashwini (2018) Opal+: length - specific MoRF prediction in intrinsically disordered protein sequences. Proteomics, 180005 . pp. 1-4. ISSN 1615-9853 Fourati, Slim and Talla, Aarthi and Mahmoudian, Mehrad and Burkhart, Joshua G. and Klén, Riku and Henao, Ricardo and Yu, Thomas and Aydın, Zafer and Yeung, Ka Y. and Ahsen, Mehmet E. and Almugbel, Reem and Jahandideh, Samad and Liang, Xiao and Nordling, Torbjörn E.M. and Shiga, Motoki and Stanescu, Ana and Vogel, Robert and Pandey, Gaurav and Chiu, Christopher and McClain, Micah T. and Woods, Christopher W. and Ginsburg, Geoffrey S. and Elo, Laura L. and Tsalik, Ephraim L. and Mangravite, Lara M. and Sieberts, Solveig K. and Abdallah, Emna B. and Aghababazadeh, Farnoosh A. and Amadoz, Alicia and Bhalla, Sherry and Bleakley, Kevin and Bongen, Erika and Borzacchielo, Domenico and Bucher, Philipp and Carbonell-Caballero, Jose and Chaudhary, Kumardeep and Chinesta, Francisco and Chodavarapu, Prasad and Chow, Ryan D. and Cokelaer, Thomas and Cubuk, Cankut and Dhanda, Sandeep K. and Dopazo, Joaquin and Faux, Thomas and Feng, Yang and Flinta, Christofer and Guziolowski, Carito and He, Di and Hidalgo, Marta R. and Hou, Jiayi and Inoue, Katsumi and Jaakkola, Maria K. and Ji, Jiadong and Kumar, Ritesh and Kumar, Sunil and Kursa, Miron B. and Li, Qian and Lu, Pengcheng and Magnin, Morgan and Mao, Weiguang and Miannay, Bertrand and Nikolayeva, Iryna and Obradovic, Zoran and Pak, Chi and Rahman, Mohammad M. and Razzaq, Misbah and Ribeiro, Tony and Roux, Olivier and Saghapour, Ehsan and Saini, Harsh and Sarhadi, Shamim and Sato, Hiroki and Schwikowski, Benno and Sharma, Alokanand and Sharma, Ronesh and Singla, Deepak and Stojkovic, Ivan and Suomi, Tomi and Suprun, Maria and Tian, Chengzhe and Tomalin, Lewis E. and Xie, Lei and Yu, Xiang and Łopuszyński, Michał (2018) A crowdsourced analysis to identify ab initio molecular signatures predictive of susceptibility to viral infection. Nature Communications, 9 (1). NA. ISSN 2041-1723 Uddin, M. R. and Sharma, Alokanand and Farid, D. M. and Rahman, M. M. and Dehzangi, A. and Shatabda, Swakkhar (2018) EvoStruct-Sub: an accurate gram-positive protein subcellular localization predictor using evolutionary and structural features. Journal of Theoretical Biology, 443 . pp. 138-146. ISSN 0022-5193 Dehzangi, Abdollah and Lopez, Y. and Lal, Sunil and Taherzadeh, G. and Sattar, A. and Tsunoda, T. and Sharma, Alokanand (2018) Improving succinylation prediction accuracy by incorporating the secondary structure via helix, strand and coil, and evolutionary infomration from profile bigrams. PLoS One, 13 (2). pp. 1-16. ISSN 1932-6203 Sharma, Ronesh and Bayarjargal, M. and Tsunoda, T. and Patil, A. and Sharma, Alokanand (2018) MoRFPred-plus: Computational Identification of MoRFs in Protein Sequence using physicochemical properties and HMM profiles. Journal of Theoretical Biology, 437 . pp. 9-16. ISSN 0022-5193 Sharma, Ronesh and Raicar, Gaurav and Tsunoda, Tsunoda and Patil, A. and Sharma, Alokanand (2018) OPAL: prediction of MoRF regions in intrinsically disordered protein sequence. Bioinformatics, 34 (11). pp. 1850-1858. ISSN 1367-4803 López, Y. and Sharma, Alokanand and Dehzangi, Abdollah and Lal, Sunil P. and Taherzadeh, G. and Sattar, A. and Tsunoda, T. (2018) Success: evolutionary and structural properties of amino acids prove effective for succinylation site prediction. BMC Genomics, 19 . pp. 105-114. ISSN 1471-2164 Kumar, Shiu and Sharma, Alokanand (2018) A new parameter tuning approach for enhanced motor imagery EEG signal classification. Medical and Biological Engineering and Computing . pp. 1-14. ISSN 0140-0118 Kumar, Shiu and Sharma, Alokanand and Tsunoda, T. (2017) An improved discriminative filter bank selection approach for motor imagery EEG signal classification using mutual information. BMC Bioinformatics, 18 (16). p. 545. ISSN 1471-2105 Shatabda, S. and Saha, S. and Sharma, Alokanand and Dehzangi, A. (2017) iPHLoc - ES: identification of bacteriophage protein locations using evolutionary and structural features. Journal of Theoretical Biology, 435 . pp. 229-237. ISSN 0022-5193 Kumar, Shiu and Mamun, Kabir and Sharma, Alokanand (2017) CSP-TSM: optimizing the performance of Riemannian tangent space mapping using common spatial pattern for MI-BCI. Computers in Biology and Medicine, 91 . pp. 231-242. ISSN 0010-4825 Dehzangi, A. and López, Y. and Lal, S.P. and Taherzadeh, G. and Mchaelson, J. and Sattar, A. and Tsunoda, T. and Sharma, Alokanand (2017) PSSM - Suc: accurately predicting succinylation using position specific scoring matrix into bigram for feature extraction. Journal of Theoretical Biology, 425 . pp. 97-102. ISSN 0022-5193 Kumar, Raneel and Lal, Sunil P. and Sharma, Alokanand (2017) Detecting TCP SYN Flood Attack in the Cloud. Journal of Software, 12 (7). pp. 493-506. ISSN 1796-217X López, Y. and Dehzangi, A. and Lal, S.P. and Taherzadeh, G. and Michaelson, J. and Sattar, A. and Tsunoda, T. and Sharma, Alokanand (2017) SucStruct: prediction of succinylated lysine residues by using structural properties of amino acids. Analytical Biochemistry, 527 . pp. 24-32. ISSN 0003-2697 López, Yosvany and Dehzangi, Abdollah and Lal, Sunil Pranit and Taherzadeh, Ghazaleh and Michaelson, Jacob and Sattar, Abdul and Tsunoda, Tatsuhiko and Sharma, Alokanand (2017) SucStruct: Prediction of succinylated lysine residues by using structural properties of amino acids. Analytical Biochemistry, 527 . 24 - 32. ISSN 0003-2697 Sharma, Alokanand and Boroevich, Keith and Shigemizu, Daichi and Kamatani, Yoichiro and Kubo, Michiaki and Tsunoda, T. (2017) Hierarchical maximum likelihood clustering approach. IEEE Transactions on Biomedical Engineering, 64 (1). pp. 112-122. ISSN 0018-9294 Sharma, Alokanand and Kamola, P.J. and Tsunoda, T. (2017) 2D - EM clustering approach for high - dimensional data through folding feature vectors. BMC Bioinformatics, 18 (16). p. 547. ISSN 1471-2105 Sharma, Alokanand and López, Y. and Tsunoda, T. (2017) Divisive hierarchical maximum likelihood clustering. BMC Bioinformatics, 18 (16). p. 546. ISSN 1471-2105 Zaman, Rianon and Chowdhury, Shahana Yasmin and Rashid, Mahmood and Sharma, Alokanand and Dehzangi, Abdollah and Shatabda, Swakkhar (2017) HMMBinder: DNA - binding protein prediction using HMM profile based features. BioMed Research International, 2017 . 1 - 10. ISSN 2314-6133 Sharma, Alokanand and Shigemizu, Daichi and Boroevich, Keith and López, Y. and Kamatani, Yoichiro and Kubo, Michiaki and Tsunoda, T. (2016) Stepwise iterative maximum likelihood clustering approach. BMC Bioinformatics, 17 . pp. 319-333. ISSN 1471-2105 Raicar, Gaurav and Saini, Harsh and Dehzangi, Abdollah and Lal, Sunil P. and Sharma, Alokanand (2016) Improving protein fold recognition and structural class prediction accuracies using physicochemical properties of amino acids. Journal of Theoretical Biology, 402 . pp. 117-128. ISSN 0022-5193 Mamun, Kabir and Islam, F M Rabiul and Sharma, Alokanand and Hoque, A.S.M. and Szecsi, T. (2016) Patient condition monitoring modular hospital robot. Journal of Software, 11 (8). pp. 768-786. ISSN 1796-217X Lyons, J. and Paliwal, K.K. and Dehzangi, A. and Heffernan, R. and Tsunoda, T. and Sharma, Alokanand (2016) Protein fold recognition using HMM–HMM alignment and dynamic programming. Journal of Theoretical Biology, 393 . pp. 67-74. ISSN 0022-5193 Saini, Harsh and Lal, Sunil P. and Naidu, Vimal V. and Pickering, Vincel W. and Singh, Gurmeet and Tsunoda, Tatsuhiko and Sharma, Alokanand (2016) Gene masking - a technique to improve accuracy for cancer classification with high dimensionality in microarray data. BMC Medical Genomics, 9 (3). pp. 74-83. ISSN 1755-8794 Heffernan, R. and Dehzangi, Abdollah and Lyons, J. and Paliwal, K.K. and Sharma, Alokanand and Wang, J. and Sattar, A. and Zhou, Y. and Yang, Y. (2016) Highly Accurate Sequence-based Prediction of Half-Sphere Exposures of Amino Acid Residues in Proteins. Bioinformatics, 32 (6). pp. 843-849. ISSN 1367-4803 Sharma, Ronesh and Kumar, Shiu and Tsunoda, T. and Patil, A and Sharma, Alokanand (2016) Predicting MoRFs in protein sequences using HMM profiles. BMC Bioinformatics, 17 (19). pp. 504-512. ISSN 1471-2105 Saini, Harsh and Raicar, Gaurav and Lal, Sunil P. and Dehzangi, Abdollah and Imoto, S. and Sharma, Alokanand (2016) Protein fold recognition using genetic algorithm optimized voting scheme and profile bigram. Journal of Software, 11 (8). pp. 756-767. ISSN 1796-217X Saini, Harsh and Raicar, Gaurav and Lal, Sunil P. and Dehzangi, A. and Sharma, Alokanand (2015) Subcellular localization for Gram Positive and Gram Negative Bacterial Proteins using Linear Interpolation Smoothing Model. Journal of Theoretical Biology, 386 . pp. 25-33. ISSN 0022-5193 Lyons, J. and Dehzangi, A. and Heffernan, R. and Yang, Yuedong and Zhou, Y. and Sharma, Alokanand and Paliwal, K.K. (2015) Advancing the accuracy of protein fold recognition by utilizing profiles from hidden Markov models. IEEE Transactions on Nanobioscience, 14 (7). pp. 761-772. ISSN 1536-1241 Saini, Harsh and Raicar, Gaurav and Sharma, Alokanand and Lal, Sunil P. and Dehzangi, A. and Lyons, J. and Paliwal, K.K. and Imoto, S. and Miyano, S. (2015) Probabilistic expression of spatially varied amino acid dimers into general form of Chou's pseudo amino acid composition for protein fold recognition. Journal of Theoretical Biology, 380 . pp. 291-298. ISSN 0022-5193 Sharma, Alokanand and Paliwal, K.K. (2015) A deterministic approach to regularized linear discriminant analysis. Neurocomputing, 151 . pp. 207-214. ISSN 0925-2312 Dehzangi, A. and Sohrabi, S. and Heffernan, R. and Sharma, Alokanand and Lyons, J. and Paliwal, K.K. and Sattar, A. (2015) Gram - positive and gram - negative subcellular localization using rotation forest and physicochemical-based features. BMC Bioinformatics, 16 (S1). pp. 1-12. ISSN 1471-2105 Dehzangi, A. and Heffernan, R. and Sharma, Alokanand and Lyons, J. and Paliwal, K.K. and Sattar, A. (2015) Gram-positive and Gram-negative protein subcellular localization by incorporating evolutionary-based descriptors into Chou׳ s general PseAAC. Journal of Theoretical Biology, 364 . pp. 284-294. ISSN 0022-5193 Heffernan, R. and Dehzangi, A. and Lyons, J. and Paliwal, K.K. and Sharma, Alokanand and Wang, J. and Sattar, A. and Zhou, Y. and Yang, Y. (2015) Highly accurate sequence - based prediction of half - sphere exposures of amino acid residues in proteins. Bioinformatics, 14 . pp. 1-7. ISSN 1367-4803 Heffernan, R. and Paliwal, K.K. and Lyons, J. and Dehzangi, A. and Sharma, Alokanand and Wang, J. and Sattar, A. and Yang, Y. and Zhou, Y. (2015) Improving prediction of secondary structure, local backbone angles, and solvent accessible surface area of proteins by iterative deep learning. Scientific Reports, 5 (11476). pp. 1-11. ISSN NA Sharma, Alokanand and Paliwal, K.K. (2015) Linear discriminant analysis for the small sample size problem: an overview. International Journal of Machine Learning and Cybernetics, 6 (3). pp. 443-454. ISSN 1868-8071 Sharma, Ronesh and Dehzangi, A. and Lyons, J. and Paliwal, K.K. and Tsunoda, T. and Sharma, Alokanand (2015) Predict gram - positive and gram - negative subcellular localization via incorporating evolutionary information and physicochemical features into Chou’s general PseAAC. IEEE Transactions on NanoBioscience, 14 (8). pp. 915-926. ISSN 1536-1241 Dehzangi, A. and Sharma, Alokanand and Lyons, J. and Paliwal, K.K. and Sattar, A. (2015) A mixture of physicochemical and evolutionary–based feature extraction approaches for protein fold recognition. International Journal of Data Mining and Bioinformatics, 11 (1). pp. 115-138. ISSN 1748-5673 Paliwal, K.K. and Sharma, Alokanand and Lyons, J. and Dehzangi, A. (2014) Improving protein fold recognition using the amalgamation of evolutionary-based and structural-based information. BMC Bioinformatics, 15 (16). pp. 1-9. ISSN 1471-2105 Mamun, Kabir and Sharma, Alokanand (2014) Importance of computational intelligent in proteomics. Journal of Advanced Computational Intelligence and Intelligent Informatics, 18 (4). pp. 469-473. ISSN 1343-0130 Dehzangi, A. and Paliwal, K.K. and Lyons, J. and Sharma, Alokanand and Sattar, A. (2014) A segmentation - based method to extract structural and evolutionary features for protein fold recognition. IEEE-ACM Transactions on Computational Biology and Bioinformatics, PP (99). pp. 1-11. ISSN 1557-9964 Sharma, Alokanand and Paliwal, K.K. and Imoto, S. and Miyano, S. (2014) A feature selection method using improved regularized linear discriminant analysis. Machine Vision and Applications, 25 (3). pp. 775-786. ISSN 0932-8092 Ananthanarayanan, Rajeshkannan and Sharma, Alokanand (2014) Densification and corrosion studies of as - sintered - swaged Al composite preforms. Advanced Materials Research, 911 . pp. 67-71. ISSN 1022-6680 Ananthanarayanan, Rajeshkannan and Sharma, Alokanand and Devi, RS (2014) Evaluation of matrix and geometric strain hardening of axial deformed sintered Fe-0.75%C preform. Advanced Materials Research, 911 . pp. 143-147. ISSN 1022-6680 Paliwal, K.K. and Sharma, Alokanand and Lyons, J. and Dehzangi, A. (2014) A tri - gram based feature extraction technique using linear probabilities of position specific scoring matrix for protein fold recognition. IEEE Transactions on Nanobioscience, 13 (1). pp. 44-50. ISSN 1536-1241 Sharma, Alokanand and Lyons, J. and Dehzangi, A. and Imoto, S. and Miyano, S. and Nakai, K and Patil, A (2014) Evaluation of sequence features from intrinsically disordered regions for the estimation of protein function. PLos One, 9 (2). pp. 1-7. ISSN 1932-6203 Lyons, S. and Dehzangi, A. and Heffernan, R. and Sharma, Alokanand and Paliwal, K.K. and Sattar, A. and Zhou, Y. and Yang, Y. (2014) Predicting backbone Cα angles and dihedrals from protein sequences by stacked sparse auto-encoder deep neural network. Journal of Computational Chemistry, 35 (28). pp. 2040-2046. ISSN 0192-8651 Dehzangi, A. and Paliwal, K.K. and Lyons, J. and Sharma, Alokanand and Sattar, A. (2014) Proposing a highly accurate protein structural class predictor using segmentation - based features. BMC Genomics, 15 (1). pp. 1-13. ISSN 1471-2164 Lyons, J. and Biswas, S.N. and Sharma, Alokanand and Dehzangi, A. and Paliwal, K.K. (2014) Protein fold recognition by alignment of amino acid residues using kernelized dynamic time warping. Journal of Theoretical Biology, 354 . pp. 137-145. ISSN 0022-5193 Saini, Harsh and Raicar, Gaurav and Sharma, Alokanand and Lal, Sunil P. and Dehzangi, A. and Ananthanarayanan, Rajeshkannan and Lyons, J. and Biswas, N. and Paliwal, K.K. (2014) Protein structural class prediction via k - separated bigrams using position specific scoring matrix. Journal of Advanced Computational Intelligence and Intelligent Informatics, 18 (4). pp. 474-479. ISSN 1343-0130 Ananthanarayanan, Rajeshkannan and Rengamani, D.S. and Sharma, Alokanand (2014) Some aspects on geometric and matrix work-hardening characteristics of sintered cold forged copper alloy performs. Materials Research, 17 (1). pp. 196-202. ISSN 1516-1439 Sharma, Alokanand and Paliwal, K.K. (2013) Linear discriminant analysis for the small sample size problem: an overview. International Journal of Machine Learning and Cybernetics, 5 . pp. 1-12. ISSN 1868-8071 Sharma, Alokanand and Lyons, James and Dehzangi, Abdollah and Paliwal, K.K. (2013) A feature extraction technique using bi-gram probabilities of position specific scoring matrix for protein fold recognition. Journal of Theoretical Biology, 320 . pp. 41-46. ISSN 0022-5193 Parwal, A.K. and Parwal, G. and Sharma, Alokanand and Khan, M.A. (2013) Implementation of Fuzzy Technique based on LabVIEW for Control Gas System using USB 6009. International Journal of Control and Automation, 6 (3). pp. 365-374. ISSN 2005-4297 Dehzangi, A. and Paliwal, K.K. and Sharma, Alokanand and Dehzangi, O. and Sattar, A. (2013) A combination of feature extraction methods with an ensemble of different classifiers for protein structural class prediction problem. IEEE/ACM Transactions on Computational Biology and Bioinformatics, N/A . p. 1. ISSN 1557-9964 Sharma, Alokanand and Paliwal, K.K. and Imoto, S. and Miyano, S. and Sharma, V. and Ananthanarayanan, Rajeshkannan (2013) A feature selection method using fixed-point algorithm for DNA microarray gene expression data. International Journal of Knowledge Based and Intelligent Engineering Systems, 18 (1). pp. 55-59. ISSN 1327-2314 Sharma, Alokanand and Paliwal, K.K. and Imoto, S. and Miyano, S. (2013) A feature selection method using improved regularized linear discriminant analysis. Machine Vision and Applications, Novemb . ?-?. ISSN 0932-8092 Sharma, Alokanand and Paliwal, K.K. and Dehzangi, Abdollah and Lyons, James and Imoto, S. and Miyano, S. (2013) A strategy to select suitable physicochemical at attributes of amino acids for protein fold recognition. BMC Bioinformatics, 14 (233). pp. 1-11. ISSN 1471-2105 Sharma, Alokanand and Imoto, S. and Miyano, S. (2012) A filter based feature selection algorithm using null space of covariance matrix for DNA microarray gene expression data. Current Bioinformatics, 7 (3). pp. 289-294. ISSN 1574-8936 Sharma, Alokanand and Paliwal, K.K. (2012) A two-stage linear discriminant analysis for face-recognition. Pattern Recognition Letters, 33 (9). pp. 1157-1162. ISSN 0167-8655 Paliwal, K.K. and Sharma, Alokanand (2012) Improved pseudoinverse linear discriminant analysis method for dimensionality reduction. International Journal of Pattern Recognition and Artificial Intelligence, 26 (1). p. 9. ISSN 0218-0014 Sharma, Alokanand and Imoto, S. and Miyano, S. and Sharma, V. (2012) Null space based feature selection method for gene expression data. International Journal of Machine Learning and Cybernetics, ? . ?-?. ISSN 1868-8071 Sharma, Alokanand and Paliwal, K.K. and Imoto, S. and Miyano, S. (2012) Principal component analysis using QR decomposition. International Journal of Machine Learning and Cybernetics, 4 (6). pp. 679-683. ISSN 1868-8071 Sharma, Alokanand and Imoto, S. and Miyano, S. (2012) A between-class overlapping filter-based method for transcriptome data analysis. Journal of Bioinformatics and Computational Biology, 10 (5). pp. 1-20. ISSN 0219-7200 Sharma, Alokanand and Paliwal, K.K. (2012) A gene selection algorithm using Bayesian classification approach. American Journal of Applied Sciences, 9 (1). pp. 127-131. ISSN 1546-9239 Sharma, Alokanand and Paliwal, K.K. (2012) A new perspective to null linear discriminant analysis method and its fast implementation using random matrix multiplication with scatter matrices. Pattern Recognition, 45 (6). pp. 2205-2213. ISSN 0031-3203 Sharma, Alokanand and Imoto, S. and Miyano, S. (2012) A top-r feature selection algorithm for microarray gene expression data. IEEE-ACM Transactions on Computational Biology and Bioinformatics, 9 (3). pp. 754-764. ISSN 1557-9964 Paliwal, K.K. and Sharma, Alokanand (2011) Approximate LDA technique for dimensionality reduction in the small sample size case. Journal of Pattern Recognition Research, 6 (2). pp. 298-306. ISSN 1558-884X Sharma, Alokanand and Koh, C.H. and Imoto, S. and Miyano, S. (2011) Strategy of finding optimal number of features on gene expression data. Electronics Letters, IEE, 47 (8). pp. 480-482. ISSN 0013-5194 Sharma, Alokanand and Lal, Sunil P. (2011) Tanimoto based similarity measure for intrusion detection system. Journal of Information Security, 2 (4). pp. 195-201. ISSN 2153-1234 Paliwal, K.K. and Sharma, Alokanand (2010) Improved direct LDA and its application to DNA microarray gene expression data. Pattern Recognition Letters, 31 (16). pp. 2489-2492. ISSN 0167-8655 Sharma, Alokanand and Paliwal, K.K. (2010) Improved nearest centroid classifier with shrunken distance measure for null LDA method on cancer classification problem. Electronics Letters, 46 (18). pp. 1251-1252. ISSN 0013-5194 Sharma, Alokanand and Paliwal, K.K. (2010) Regularisation of eigenfeatures by extrapolation of scatter-matrix in face-recognition problem. Electronics Letters, 46 (10). pp. 682-683. ISSN 0013-5194 Sharma, Alokanand (2008) Rotational linear discriminant analysis technique for dimensionality reduction. IEEE Transactions on Knowledge and Data Engineering, 20 (10). pp. 1336-1347. ISSN 1041-4347 Sharma, Alokanand and Paliwal, K.K. (2008) Cancer classification by gradient LDA technique using microarray gene expression data. Data & Knowledge Engineering, 66 (2). pp. 338-347. ISSN 0169-023X Sharma, Alokanand and Paliwal, K.K. (2008) A gradient linear discriminant analysis for small sample sized problem. Neural Processing Letters, 27 (1). pp. 17-24. ISSN 1370-4621 Sharma, Alokanand and Pujari, A.K. and Paliwal, K.K. (2007) Intrusion detection using text processing techniques with a Kernel based similarity measure. Computers and Security, 26 (7 & 8). pp. 488-495. ISSN 0167-4048 Sharma, Alokanand and Paliwal, K.K. (2007) Fast principal component analysis using fixed-point algorithm. Pattern Recognition Letters, 28 (10). pp. 1151-1155. ISSN 0167-8655 Sharma, Alokanand and Paliwal, K.K. (2007) Detecting masquerades using a combination of Naïve Bayes and weighted RBF approach. Journal in Computer Virology, 3 (3). pp. 237-245. ISSN 1772-9904 Sharma, Alokanand and Paliwal, K.K. and Onwubolu, Godfrey C. (2006) Class-dependent PCA, MDC and LDA: a combined classifier for pattern classification. Pattern Recognition, 39 (7). pp. 1215-1229. ISSN 0031-3203 Sharma, Alokanand and Paliwal, K.K. (2006) Rotational linear discriminant analysis using Bayes Rule for dimensionality reduction. Journal of Computer Science, 2 (9). pp. 754-757. ISSN 1549-3636 Sharma, Alokanand and Paliwal, K.K. (2006) Splitting technique initialization in local PCA. Journal of Computer Science, 2 (1). pp. 53-58. ISSN 1549-3636 Sharma, Alokanand and Paliwal, K.K. (2006) Subspace independent component analysis using vector kurtosis. Pattern Recognition, 39 . pp. 2227-2232. ISSN 0031-3203 Sharma, Alokanand (2005) Pattern classification: an improvement using VQ and PCA based techniques. American Journal of Applied Sciences, 2 (10). pp. 1445-1455. ISSN 1546-9239 Sharma, Alokanand (2005) Signal modeling in speaker recognition. Botswana Journal of Technology, 14 (1). pp. 63-70. ISSN 1019-1593 Sharma, Alokanand (2004) Radioactive mineral identification based on FFT Radix-2 algorithm. Electronics Letters, 40 (9). pp. 536-537. ISSN 0013-5194 Sharma, Alokanand (2004) Subband coder of speech signal. Botswana Journal of Technology, 13 (1). pp. 13-17. ISSN 1019-1593 Professional and Technical ReportsSharma, Ronesh and Sharma, Alokanand and Raicar, Gaurav and Tsunoda, Tatsuhiko and Patil, A. (2019) Supplementary material for Opal+: length-specific MoRF prediction in intrinsically disordered protein sequences. [Professional and Technical Reports] OtherSharma, Alokanand and Paliwal, K.K. (2015) LDA - SSS package: supplement material for "linear discriminant analysis for the small sample size problem: an overview". UNSPECIFIED. |