Abdollah Dehzangi

33 papers C 2Journal 21Unranked 10

Year	Rank	Type	Title / Venue / Authors
2021	J	`jnl`	A review on deep learning approaches in healthcare systems: Taxonomies, challenges, and open issues. J. Biomed. Informatics Shahab Shamshirband, Mahdis Fathi, Abdollah Dehzangi, Anthony Theodore Chronopoulos, Hamid Alinejad-Rokny
2020	J	`jnl`	C-iSUMO: A sumoylation site predictor that incorporates intrinsic characteristics of amino acid sequences. Comput. Biol. Chem. Yosvany López, Abdollah Dehzangi, Hamendra Manhar Reddy, Alok Sharma
2020	J	`jnl`	Mal-Light: Enhancing Lysine Malonylation Sites Prediction Problem Using Evolutionary-based Features. IEEE Access Md. Wakil Ahmad, Md. Easin Arafat, Ghazaleh Taherzadeh, Alok Sharma, Shubhashis Roy Dipta, Abdollah Dehzangi, Swakkhar Shatabda
2020	J	`jnl`	SEMal: Accurate protein malonylation site predictor using structural and evolutionary information. Comput. Biol. Medicine Shubhashis Roy Dipta, Ghazaleh Taherzadeh, Md. Wakil Ahmad, Md. Easin Arafat, Swakkhar Shatabda, Abdollah Dehzangi
2019	—	`conf`	A Machine Learning Distracted Driving Prediction Model. ICVISP Samira Ahangari, Mansoureh Jeihani, Abdollah Dehzangi
2019	—	`conf`	Computational Prediction of Lysine Pupylation Sites in Prokaryotic Proteins Using Position Specific Scoring Matrix into Bigram for Feature Extraction. PRICAI (3) Vineet Singh, Alok Sharma, Abel Avitesh Chandra, Abdollah Dehzangi, Daichi Shigemizu, Tatsuhiko Tsunoda
2019	J	`jnl`	GlyStruct: glycation prediction using structural properties of amino acid residues. BMC Bioinform. Hamendra Manhar Reddy, Alok Sharma, Abdollah Dehzangi, Daichi Shigemizu, Abel Avitesh Chandra, Tatsuhiko Tsunoda
2019	J	`jnl`	PyFeat: a Python-based effective feature generation tool for DNA, RNA and protein sequences. Bioinform. Rafsanjani Muhammod, Sajid Ahmed, Dewan Md. Farid, Swakkhar Shatabda, Alok Sharma, Abdollah Dehzangi
2019	J	`jnl`	SPRINT-Gly: predicting N- and O-linked glycosylation sites of human and mouse proteins by using sequence and predicted structural properties. Bioinform. Ghazaleh Taherzadeh, Abdollah Dehzangi, Maryam Golchin, Yaoqi Zhou, Matthew P. Campbell
2019	C	`conf`	Toxicity Prediction by Multimodal Deep Learning. PKAW Abdul Karim, Jaspreet Singh, Avinash Mishra, Abdollah Dehzangi, M. A. Hakim Newton, Abdul Sattar
2019	J	`jnl`	Toxicity Prediction by Multimodal Deep Learning. CoRR Abdul Karim, Jaspreet Singh, Avinash Mishra, Abdollah Dehzangi, M. A. Hakim Newton, Abdul Sattar
2017	J	`jnl`	iDTI-ESBoost: Identification of Drug Target Interaction Using Evolutionary and Structural Features with Boosting. CoRR Farshid Rayhan, Sajid Ahmed, Swakkhar Shatabda, Dewan Md. Farid, Zaynab Mousavian, Abdollah Dehzangi, M. Sohel Rahman
2016	J	`jnl`	Highly accurate sequence-based prediction of half-sphere exposures of amino acid residues in proteins. Bioinform. Rhys Heffernan, Abdollah Dehzangi, James G. Lyons, Kuldip K. Paliwal, Alok Sharma, Jihua Wang, Abdul Sattar, Yaoqi Zhou, Yuedong Yang
2016	J	`jnl`	Protein Fold Recognition Using Genetic Algorithm Optimized Voting Scheme and Profile Bigram. J. Softw. Harsh Saini, Gaurav Raicar, Sunil Pranit Lal, Abdollah Dehzangi, Seiya Imoto, Alok Sharma
2015	J	`jnl`	A mixture of physicochemical and evolutionary-based feature extraction approaches for protein fold recognition. Int. J. Data Min. Bioinform. Abdollah Dehzangi, Alok Sharma, James G. Lyons, Kuldip K. Paliwal, Abdul Sattar
2015	J	`jnl`	Gram-positive and gram-negative subcellular localization using rotation forest and physicochemical-based features. BMC Bioinform. Abdollah Dehzangi, Sohrab Sohrabi, Rhys Heffernan, Alok Sharma, James G. Lyons, Kuldip K. Paliwal, Abdul Sattar
2014	J	`jnl`	A Segmentation-Based Method to Extract Structural and Evolutionary Features for Protein Fold Recognition. IEEE ACM Trans. Comput. Biol. Bioinform. Abdollah Dehzangi, Kuldip K. Paliwal, James G. Lyons, Alok Sharma, Abdul Sattar
2014	J	`jnl`	Improving protein fold recognition using the amalgamation of evolutionary-based and structural based information. BMC Bioinform. Kuldip K. Paliwal, Alok Sharma, James G. Lyons, Abdollah Dehzangi
2014	J	`jnl`	Predicting backbone Cα angles and dihedrals from protein sequences by stacked sparse auto-encoder deep neural network. J. Comput. Chem. James G. Lyons, Abdollah Dehzangi, Rhys Heffernan, Alok Sharma, Kuldip K. Paliwal, Abdul Sattar, Yaoqi Zhou, Yuedong Yang
2014	J	`jnl`	Proposing a highly accurate protein structural class predictor using segmentation-based features. BMC Genom. Abdollah Dehzangi, Kuldip K. Paliwal, James G. Lyons, Alok Sharma, Abdul Sattar
2014	J	`jnl`	Protein Structural Class Prediction via k-Separated Bigrams Using Position Specific Scoring Matrix. J. Adv. Comput. Intell. Intell. Informatics Harsh Saini, Gaurav Raicar, Alok Sharma, Sunil Pranit Lal, Abdollah Dehzangi, Rajeshkannan Ananthanarayanan, James G. Lyons, Neela Biswas, Kuldip K. Paliwal
2013	J	`jnl`	A strategy to select suitable physicochemical attributes of amino acids for protein fold recognition. BMC Bioinform. Alok Sharma, Kuldip K. Paliwal, Abdollah Dehzangi, James G. Lyons, Seiya Imoto, Satoru Miyano
2013	—	`conf`	Enhancing Protein Fold Prediction Accuracy Using Evolutionary and Structural Features. PRIB Abdollah Dehzangi, Kuldip K. Paliwal, James G. Lyons, Alok Sharma, Abdul Sattar
2013	—	`conf`	Ensemble of Diversely Trained Support Vector Machines for Protein Fold Recognition. ACIIDS (1) Abdollah Dehzangi, Abdul Sattar
2013	—	`conf`	Exploring Potential Discriminatory Information Embedded in PSSM to Enhance Protein Structural Class Prediction Accuracy. PRIB Abdollah Dehzangi, Kuldip K. Paliwal, James G. Lyons, Alok Sharma, Abdul Sattar
2013	—	`conf`	Protein Fold Recognition Using Segmentation-Based Feature Extraction Model. ACIIDS (1) Abdollah Dehzangi, Abdul Sattar
2013	—	`conf`	Protein Fold Recognition Using an Overlapping Segmentation Approach and a Mixture of Feature Extraction Models. Australasian Conference on Artificial Intelligence Abdollah Dehzangi, Kuldip K. Paliwal, Alok Sharma, James G. Lyons, Abdul Sattar
2011	—	`conf`	The Application of Fusion of Heterogeneous Meta Classifiers to Enhance Protein Fold Prediction Accuracy. ACIIDS (1) Abdollah Dehzangi, Roozbeh Hojabri Foladizadeh, Mohammad Aflaki, Sasan Karamizadeh
2010	J	`jnl`	Using Random Forest for Protein Fold Prediction Problem: An Empirical Study. J. Inf. Sci. Eng. Abdollah Dehzangi, Somnuk Phon-Amnuaisuk, Omid Dehzangi
2010	—	`conf`	Using Rotation Forest for Protein Fold Prediction Problem: An Empirical Study. EvoBIO Abdollah Dehzangi, Somnuk Phon-Amnuaisuk, Mahmoud Manafi, Soodabeh Safa
2009	J	`jnl`	Enhancing Protein Fold Prediction Accuracy Using an Ensemble of Different Classifiers. Aust. J. Intell. Inf. Process. Syst. Abdollah Dehzangi, Somnuk Phon-Amnuaisuk, Omid Dehzangi
2009	—	`conf`	Protein Fold Prediction Problem Using Ensemble of Classifiers. ICONIP (2) Abdollah Dehzangi, Somnuk Phon-Amnuaisuk, Keng Hoong Ng, Ehsan Mohandesi
2007	C	`conf`	An Efficient Nearest Neighbor Classifier Using an Adaptive Distance Measure. CAIP Omid Dehzangi, Mansoor J. Zolghadri, Shahram Taheri, Abdollah Dehzangi