Abdollah Dehzangi

发表

Predicting backbone Cα angles and dihedrals from protein sequences by stacked sparse auto‐encoder deep neural network

Kuldip K. Paliwal, James G. Lyons, Abdollah Dehzangi, 2014, J. Comput. Chem..

Proposing a highly accurate protein structural class predictor using segmentation-based features

Kuldip K. Paliwal, James G. Lyons, Abdollah Dehzangi, 2014, BMC Genomics.

A Machine Learning Distracted Driving Prediction Model

Abdollah Dehzangi, Mansoureh Jeihani, Samira Ahangari, 2019, ICVISP.

ENSEMBLE OF N EURAL N ETWORKS TO SOLVE CLASS IMBALANCE PROB LEM OF PROTEIN SECONDARY STRUCTURE PREDICTION

Abdollah Dehzangi, Maryam Alirezaee, Eghbal G. Mansoori, 2012 .

SPIDER2: A Package to Predict Secondary Structure, Accessible Surface Area, and Main-Chain Torsional Angles by Deep Neural Networks.

James G. Lyons, Abdollah Dehzangi, Rhys Heffernan, 2017, Methods in molecular biology.

Protein Fold Recognition Using an Overlapping Segmentation Approach and a Mixture of Feature Extraction Models

Kuldip K. Paliwal, James G. Lyons, Abdollah Dehzangi, 2013, Australasian Conference on Artificial Intelligence.

Protein Structural Class Prediction via k-Separated Bigrams Using Position Specific Scoring Matrix

Kuldip K. Paliwal, James G. Lyons, Abdollah Dehzangi, 2014, J. Adv. Comput. Intell. Intell. Informatics.

Ensemble of Diversely Trained Support Vector Machines for Protein Fold Recognition

Abdollah Dehzangi, Abdul Sattar, A. Sattar, 2013, ACIIDS.

iDTI-ESBoost: Identification of Drug Target Interaction Using Evolutionary and Structural Features with Boosting

Abdollah Dehzangi, Mohammad Sohel Rahman, Sajid Ahmed, 2017, Scientific Reports.

A mixture of physicochemical and evolutionary-based feature extraction approaches for protein fold recognition

Kuldip K. Paliwal, James G. Lyons, Abdollah Dehzangi, 2015, Int. J. Data Min. Bioinform..

Subcellular localization for Gram positive and Gram negative bacterial proteins using linear interpolation smoothing model.

Abdollah Dehzangi, Alok Sharma, Sunil Lal, 2015, Journal of theoretical biology.

Improving protein fold recognition using the amalgamation of evolutionary-based and structural based information

Kuldip K. Paliwal, James G. Lyons, Abdollah Dehzangi, 2014, BMC Bioinformatics.

Improving protein fold recognition and structural class prediction accuracies using physicochemical properties of amino acids.

Abdollah Dehzangi, Alok Sharma, Sunil Lal, 2016, Journal of theoretical biology.

An Efficient Nearest Neighbor Classifier Using an Adaptive Distance Measure

Abdollah Dehzangi, Omid Dehzangi, Shahram Taheri, 2007, CAIP.

Proposing a novel community detection approach to identify cointeracting genomic regions.

Abdollah Dehzangi, Hamid Parvin, Samad Nejatian, 2020, Mathematical biosciences and engineering : MBE.

iDNAProt-ES: Identification of DNA-binding Proteins Using Evolutionary and Structural Features

Abdollah Dehzangi, Swakkhar Shatabda, Shahana Yasmin Chowdhury, 2017, Scientific Reports.

Protein fold recognition by alignment of amino acid residues using kernelized dynamic time warping.

James G. Lyons, Abdollah Dehzangi, Alok Sharma, 2014, Journal of theoretical biology.

A strategy to select suitable physicochemical attributes of amino acids for protein fold recognition

Kuldip K. Paliwal, Satoru Miyano, James G. Lyons, 2013, BMC Bioinformatics.

A Tri-Gram Based Feature Extraction Technique Using Linear Probabilities of Position Specific Scoring Matrix for Protein Fold Recognition

Kuldip K. Paliwal, James G. Lyons, Abdollah Dehzangi, 2014, IEEE Transactions on NanoBioscience.

Protein fold recognition using HMM-HMM alignment and dynamic programming.

James G. Lyons, Abdollah Dehzangi, Rhys Heffernan, 2016, Journal of theoretical biology.

Enhancing Protein Fold Prediction Accuracy Using Evolutionary and Structural Features

Kuldip K. Paliwal, James G. Lyons, Abdollah Dehzangi, 2013, PRIB.

Genetic algorithm for an optimized weighted voting scheme incorporating k-separated bigram transition probabilities to improve protein fold recognition

Kuldip K. Paliwal, Satoru Miyano, Abdollah Dehzangi, 2014, Asia-Pacific World Congress on Computer Science and Engineering.

Using Random Forest for Protein Fold Prediction Problem: An Empirical Study

Abdollah Dehzangi, Somnuk Phon-Amnuaisuk, Omid Dehzangi, 2010, J. Inf. Sci. Eng..

Mal-Light: Enhancing Lysine Malonylation Sites Prediction Problem Using Evolutionary-based Features

Abdollah Dehzangi, Swakkhar Shatabda, Shubhashis Roy Dipta, 2020, IEEE Access.

Computational Prediction of Lysine Pupylation Sites in Prokaryotic Proteins Using Position Specific Scoring Matrix into Bigram for Feature Extraction

Abdollah Dehzangi, Daichi Shigemizu, Abel Avitesh Chandra, 2019, PRICAI.

The Application of Fusion of Heterogeneous Meta Classifiers to Enhance Protein Fold Prediction Accuracy

Abdollah Dehzangi, Sasan Karamizadeh, Roozbeh Hojabri Foladizadeh, 2011, ACIIDS.

SEMal: Accurate protein malonylation site predictor using structural and evolutionary information

Abdollah Dehzangi, Swakkhar Shatabda, Shubhashis Roy Dipta, 2020, Comput. Biol. Medicine.

Importance of dimensionality reduction in protein fold recognition

Ronesh Sharma, James G. Lyons, Abdollah Dehzangi, 2015, 2015 2nd Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE).

Exploring Potential Discriminatory Information Embedded in PSSM to Enhance Protein Structural Class Prediction Accuracy

Kuldip K. Paliwal, James G. Lyons, Abdollah Dehzangi, 2013, PRIB.

CFSBoost: Cumulative feature subspace boosting for drug-target interaction prediction.

Abdollah Dehzangi, Sajid Ahmed, Swakkhar Shatabda, 2019, Journal of theoretical biology.

GlyStruct: glycation prediction using structural properties of amino acid residues

Abdollah Dehzangi, Alok Sharma, Daichi Shigemizu, 2019, BMC Bioinformatics.

Protein Fold Recognition Using Segmentation-Based Feature Extraction Model

Abdollah Dehzangi, Abdul Sattar, A. Sattar, 2013, ACIIDS.

A novel one-class classification approach to accurately predict disease-gene association in acute myeloid leukemia cancer

Abdollah Dehzangi, Alok Sharma, Akram Vasighizaker, 2019, PloS one.

Predicting protein-peptide binding sites with a Deep Convolutional Neural Network.

Abdollah Dehzangi, Mahmood A. Rashid, Tatsuhiko Tsunoda, 2020, Journal of theoretical biology.

Protein Fold Recognition Using Genetic Algorithm Optimized Voting Scheme and Profile Bigram

Abdollah Dehzangi, Alok Sharma, Sunil Pranit Lal, 2016, J. Softw..

A review on deep learning approaches in healthcare systems: Taxonomies, challenges, and open issues

Anthony T. Chronopoulos, Abdollah Dehzangi, Shahab Shamshirband, 2020, J. Biomed. Informatics.

Improving succinylation prediction accuracy by incorporating the secondary structure via helix, strand and coil, and evolutionary information from profile bigrams

Abdollah Dehzangi, Alok Sharma, Yosvany López, 2018, PloS one.

HMMBinder: DNA-Binding Protein Prediction Using HMM Profile Based Features

Abdollah Dehzangi, Alok Sharma, Mahmood A. Rashid, 2017, BioMed research international.

Accurately Predicting Glutarylation Sites Using Sequential Bi-Peptide-Based Evolutionary Features

Abdollah Dehzangi, Swakkhar Shatabda, Md. Al Mehedi Hasan, 2020, Genes.

Gram-positive and gram-negative subcellular localization using rotation forest and physicochemical-based features

Kuldip K. Paliwal, James G. Lyons, Abdollah Dehzangi, 2015, BMC Bioinformatics.

Highly accurate sequence-based prediction of half-sphere exposures of amino acid residues in proteins

Kuldip K. Paliwal, James G. Lyons, Abdollah Dehzangi, 2016, Bioinform..

A feature extraction technique using bi-gram probabilities of position specific scoring matrix for protein fold recognition.

James G. Lyons, Abdollah Dehzangi, Alok Sharma, 2013, Journal of theoretical biology.

A Segmentation-Based Method to Extract Structural and Evolutionary Features for Protein Fold Recognition

Kuldip K. Paliwal, James G. Lyons, Abdollah Dehzangi, 2014, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Advancing the Accuracy of Protein Fold Recognition by Utilizing Profiles From Hidden Markov Models

James G. Lyons, Abdollah Dehzangi, Rhys Heffernan, 2015, IEEE Transactions on NanoBioscience.

A Combination of Feature Extraction Methods with an Ensemble of Different Classifiers for Protein Structural Class Prediction Problem

Abdollah Dehzangi, Alok Sharma, Abdul Sattar, 2013, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

EvoStruct-Sub: An accurate Gram-positive protein subcellular localization predictor using evolutionary and structural features.

Abdollah Dehzangi, Alok Sharma, Swakkhar Shatabda, 2018, Journal of theoretical biology.

SPIN2: Predicting sequence profiles from protein structures using deep neural networks

James G. Lyons, Abdollah Dehzangi, Rhys Heffernan, 2018, Proteins.

Enhancing protein backbone angle prediction by using simpler models of deep neural networks

Abdollah Dehzangi, M. A. Hakim Newton, Shoba Ranganathan, 2020, Scientific Reports.

iProtGly‐SS: Identifying protein glycation sites using sequence and structure based features

Abdollah Dehzangi, Swakkhar Shatabda, Md. Mofijul Islam, 2018, Proteins.

SPRINT-Gly: predicting N- and O-linked glycosylation sites of human and mouse proteins by using sequence and predicted structural properties

Abdollah Dehzangi, Yaoqi Zhou, Matthew P Campbell, 2019, Bioinform..

PyFeat: a Python-based effective feature generation tool for DNA, RNA and protein sequences

Abdollah Dehzangi, Sajid Ahmed, Swakkhar Shatabda, 2019, Bioinform..

A MACHINE LEARNING DISTRACTED DRIVING PREDICTION MODEL

Abdollah Dehzangi, Mansoureh Jeihani, Samira Ahangari, 2021 .

Enhancing the Performance of a Model to Predict Driving Distraction with the Random Forest Classifier

Abdollah Dehzangi, Mansoureh Jeihani, Samira Ahangari, 2021, Transportation Research Record: Journal of the Transportation Research Board.

PREDICTING DRIVING DISTRACTION PATTERNS IN DIFFERENT ROAD CLASSES USING A SUPPORT VECTOR MACHINE

Abdollah Dehzangi, Mansoureh Jeihani, Samira Ahangari, 2021 .

Evaluation of Sequence Features from Intrinsically Disordered Regions for the Estimation of Protein Function

Satoru Miyano, Abdollah Dehzangi, Kenta Nakai, 2014, PloS one.

Solving protein fold prediction problem using fusion of heterogeneous classifiers

Abdollah Dehzangi, Abdollah Dehzangi, Sasan Karamizadeh, 2011 .

iPHLoc-ES: Identification of bacteriophage protein locations using evolutionary and structural features.

Abdollah Dehzangi, Swakkhar Shatabda, Sanjay Saha, 2017, Journal of theoretical biology.

Fold prediction problem: the application of new physical and physicochemical-based features.

Abdollah Dehzangi, Somnuk Phon-Amnuaisuk, S. Phon-Amnuaisuk, 2011, Protein and peptide letters.