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ORCIDAbdollah Dehzangi
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2020 – today
- 2021
[j19]Shahab Shamshirband, Mahdis Fathi, Abdollah Dehzangi
, Anthony Theodore Chronopoulos, Hamid Alinejad-Rokny:
A review on deep learning approaches in healthcare systems: Taxonomies, challenges, and open issues. J. Biomed. Informatics 113: 103627 (2021)- 2020
- [j18]Md. Wakil Ahmad, Md. Easin Arafat, Ghazaleh Taherzadeh, Alok Sharma, Shubhashis Roy Dipta, Abdollah Dehzangi, Swakkhar Shatabda:
Mal-Light: Enhancing Lysine Malonylation Sites Prediction Problem Using Evolutionary-based Features. IEEE Access 8: 77888-77902 (2020) - [j17]Yosvany López, Abdollah Dehzangi, Hamendra Manhar Reddy, Alok Sharma:
C-iSUMO: A sumoylation site predictor that incorporates intrinsic characteristics of amino acid sequences. Comput. Biol. Chem. 87: 107235 (2020) - [j16]Shubhashis Roy Dipta, Ghazaleh Taherzadeh, Md. Wakil Ahmad, Md. Easin Arafat, Swakkhar Shatabda, Abdollah Dehzangi:
SEMal: Accurate protein malonylation site predictor using structural and evolutionary information. Comput. Biol. Medicine 125: 104022 (2020)
2010 – 2019
- 2019
- [j15]Rafsanjani Muhammod, Sajid Ahmed, Dewan Md. Farid, Swakkhar Shatabda, Alok Sharma, Abdollah Dehzangi:
PyFeat: a Python-based effective feature generation tool for DNA, RNA and protein sequences. Bioinform. 35(19): 3831-3833 (2019) - [j14]Ghazaleh Taherzadeh, Abdollah Dehzangi, Maryam Golchin, Yaoqi Zhou, Matthew P. Campbell:
SPRINT-Gly: predicting N- and O-linked glycosylation sites of human and mouse proteins by using sequence and predicted structural properties. Bioinform. 35(20): 4140-4146 (2019) - [j13]Hamendra Manhar Reddy, Alok Sharma, Abdollah Dehzangi, Daichi Shigemizu, Abel Avitesh Chandra, Tatsuhiko Tsunoda:
GlyStruct: glycation prediction using structural properties of amino acid residues. BMC Bioinform. 19-S(13): 55-64 (2019) - [c12]Samira Ahangari, Mansoureh Jeihani, Abdollah Dehzangi:
A Machine Learning Distracted Driving Prediction Model. ICVISP 2019: 77:1-77:6 - [c11]Abdul Karim, Jaspreet Singh, Avinash Mishra, Abdollah Dehzangi, M. A. Hakim Newton, Abdul Sattar:
Toxicity Prediction by Multimodal Deep Learning. PKAW 2019: 142-152 - [c10]Vineet Singh, Alok Sharma, Abel Avitesh Chandra, Abdollah Dehzangi, Daichi Shigemizu, Tatsuhiko Tsunoda:
Computational Prediction of Lysine Pupylation Sites in Prokaryotic Proteins Using Position Specific Scoring Matrix into Bigram for Feature Extraction. PRICAI (3) 2019: 488-500 - [i2]Abdul Karim, Jaspreet Singh, Avinash Mishra, Abdollah Dehzangi, M. A. Hakim Newton, Abdul Sattar:
Toxicity Prediction by Multimodal Deep Learning. CoRR abs/1907.08333 (2019) - 2017
- [i1]Farshid Rayhan, Sajid Ahmed, Swakkhar Shatabda, Dewan Md. Farid, Zaynab Mousavian, Abdollah Dehzangi, M. Sohel Rahman:
iDTI-ESBoost: Identification of Drug Target Interaction Using Evolutionary and Structural Features with Boosting. CoRR abs/1707.00994 (2017) - 2016
- [j12]Rhys Heffernan, Abdollah Dehzangi, James G. Lyons, Kuldip K. Paliwal, Alok Sharma, Jihua Wang, Abdul Sattar, Yaoqi Zhou, Yuedong Yang:
Highly accurate sequence-based prediction of half-sphere exposures of amino acid residues in proteins. Bioinform. 32(6): 843-849 (2016) - [j11]Harsh Saini, Gaurav Raicar, Sunil Pranit Lal, Abdollah Dehzangi, Seiya Imoto, Alok Sharma:
Protein Fold Recognition Using Genetic Algorithm Optimized Voting Scheme and Profile Bigram. J. Softw. 11(8): 756-767 (2016) - 2015
- [j10]Abdollah Dehzangi, Sohrab Sohrabi, Rhys Heffernan, Alok Sharma, James G. Lyons, Kuldip K. Paliwal, Abdul Sattar:
Gram-positive and gram-negative subcellular localization using rotation forest and physicochemical-based features. BMC Bioinform. 16(S-4): S1 (2015) - [j9]Abdollah Dehzangi, Alok Sharma, James G. Lyons, Kuldip K. Paliwal, Abdul Sattar:
A mixture of physicochemical and evolutionary-based feature extraction approaches for protein fold recognition. Int. J. Data Min. Bioinform. 11(1): 115-138 (2015) - 2014
- [j8]Kuldip K. Paliwal, Alok Sharma, James G. Lyons, Abdollah Dehzangi:
Improving protein fold recognition using the amalgamation of evolutionary-based and structural based information. BMC Bioinform. 15(S-16): S12 (2014) - [j7]Abdollah Dehzangi, Kuldip K. Paliwal, James G. Lyons, Alok Sharma, Abdul Sattar:
Proposing a highly accurate protein structural class predictor using segmentation-based features. BMC Genom. 15(S-1): S2 (2014) - [j6]Harsh Saini, Gaurav Raicar, Alok Sharma, Sunil Pranit Lal, Abdollah Dehzangi, Rajeshkannan Ananthanarayanan, James G. Lyons, Neela Biswas, Kuldip K. Paliwal:
Protein Structural Class Prediction via k-Separated Bigrams Using Position Specific Scoring Matrix. J. Adv. Comput. Intell. Intell. Informatics 18(4): 474-479 (2014) - [j5]James G. Lyons, Abdollah Dehzangi, Rhys Heffernan, Alok Sharma, Kuldip K. Paliwal, Abdul Sattar, Yaoqi Zhou, Yuedong Yang:
Predicting backbone Cα angles and dihedrals from protein sequences by stacked sparse auto-encoder deep neural network. J. Comput. Chem. 35(28): 2040-2046 (2014) - [j4]Abdollah Dehzangi, Kuldip K. Paliwal, James G. Lyons, Alok Sharma, Abdul Sattar:
A Segmentation-Based Method to Extract Structural and Evolutionary Features for Protein Fold Recognition. IEEE ACM Trans. Comput. Biol. Bioinform. 11(3): 510-519 (2014) - 2013
- [j3]Alok Sharma, Kuldip K. Paliwal, Abdollah Dehzangi, James G. Lyons, Seiya Imoto, Satoru Miyano:
A strategy to select suitable physicochemical attributes of amino acids for protein fold recognition. BMC Bioinform. 14: 233 (2013) - [c9]Abdollah Dehzangi, Abdul Sattar:
Ensemble of Diversely Trained Support Vector Machines for Protein Fold Recognition. ACIIDS (1) 2013: 335-344 - [c8]Abdollah Dehzangi, Abdul Sattar:
Protein Fold Recognition Using Segmentation-Based Feature Extraction Model. ACIIDS (1) 2013: 345-354 - [c7]Abdollah Dehzangi, Kuldip K. Paliwal, Alok Sharma, James G. Lyons, Abdul Sattar:
Protein Fold Recognition Using an Overlapping Segmentation Approach and a Mixture of Feature Extraction Models. Australasian Conference on Artificial Intelligence 2013: 32-43 - [c6]Abdollah Dehzangi, Kuldip K. Paliwal, James G. Lyons, Alok Sharma, Abdul Sattar:
Enhancing Protein Fold Prediction Accuracy Using Evolutionary and Structural Features. PRIB 2013: 196-207 - [c5]Abdollah Dehzangi, Kuldip K. Paliwal, James G. Lyons, Alok Sharma, Abdul Sattar:
Exploring Potential Discriminatory Information Embedded in PSSM to Enhance Protein Structural Class Prediction Accuracy. PRIB 2013: 208-219 - 2011
- [c4]Abdollah Dehzangi, Roozbeh Hojabri Foladizadeh, Mohammad Aflaki, Sasan Karamizadeh:
The Application of Fusion of Heterogeneous Meta Classifiers to Enhance Protein Fold Prediction Accuracy. ACIIDS (1) 2011: 538-547 - 2010
- [j2]Abdollah Dehzangi, Somnuk Phon-Amnuaisuk, Omid Dehzangi:
Using Random Forest for Protein Fold Prediction Problem: An Empirical Study. J. Inf. Sci. Eng. 26(6): 1941-1956 (2010) - [c3]Abdollah Dehzangi, Somnuk Phon-Amnuaisuk, Mahmoud Manafi, Soodabeh Safa:
Using Rotation Forest for Protein Fold Prediction Problem: An Empirical Study. EvoBIO 2010: 217-227
2000 – 2009
- 2009
- [j1]Abdollah Dehzangi, Somnuk Phon-Amnuaisuk, Omid Dehzangi:
Enhancing Protein Fold Prediction Accuracy Using an Ensemble of Different Classifiers. Aust. J. Intell. Inf. Process. Syst. 10(4) (2009) - [c2]Abdollah Dehzangi, Somnuk Phon-Amnuaisuk, Keng Hoong Ng, Ehsan Mohandesi:
Protein Fold Prediction Problem Using Ensemble of Classifiers. ICONIP (2) 2009: 503-511 - 2007
- [c1]Omid Dehzangi, Mansoor J. Zolghadri, Shahram Taheri, Abdollah Dehzangi:
An Efficient Nearest Neighbor Classifier Using an Adaptive Distance Measure. CAIP 2007: 970-978
Coauthor Index
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