Iman Dehzangi

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Coauteurs

Alok SharmaSenior Scientist at RIKEN; Griffith University; Korea UniversityAdresse e-mail validée de griffith.edu.au
Abdul SattarProfessor of Computer Science, Griffith UniversityAdresse e-mail validée de griffith.edu.au
Kuldip PaliwalProfessor (Chair, Communication and Information Engineering), Griffith University, BrisbaneAdresse e-mail validée de griffith.edu.au
James LyonsUnaffiliatedAdresse e-mail validée de griffithuni.edu.au
Swakkhar ShatabdaBRAC UniversityAdresse e-mail validée de bracu.ac.bd
Tatsuhiko TsunodaProfessor, The University of TokyoAdresse e-mail validée de bs.s.u-tokyo.ac.jp
Rhys HeffernanGriffith UniversityAdresse e-mail validée de griffith.edu.au
Hamid Alinejad-RoknyARC DECRA & UNSW Scientia Fellow, Head of BioMedical Machine Learning LabAdresse e-mail validée de unsw.edu.au
Yaoqi ZhouSenior Principal Investigator, Institute of Systems & Physical Biology, Shenzhen Bay LaboratoryAdresse e-mail validée de szbl.ac.cn
Gazelle TaherzadehWilkes UniversityAdresse e-mail validée de wilkes.edu
Yuedong YangSchool of Computer Science and Engineering, Sun Yat-sen UniversityAdresse e-mail validée de mail.sysu.edu.cn
Yosvany López, Ph.D.Senior Bioinformatics Scientist, Azenta Life SciencesAdresse e-mail validée de azenta.com
Abel Avitesh ChandraGriffith UniversityAdresse e-mail validée de griffithuni.edu.au
Dewan Md. FaridProfessor of Computer Science, United International UniversityAdresse e-mail validée de cse.uiu.ac.bd
Sajid AhmedGraduate Student, Vanderbilt UniversityAdresse e-mail validée de vanderbilt.edu
Somnuk Phon-AmnuaisukProfessor, Universiti Teknologi BruneiAdresse e-mail validée de utb.edu.bn
Amin BeheshtiFull Professor, School of Computing, Macquarie University, Sydney, AustraliaAdresse e-mail validée de mq.edu.au
Harsh SainiUniversity of the South PacificAdresse e-mail validée de usp.ac.fj
Md. Saikat Islam KhanGraduate Research Assistant at Department of Computer Science, Rensselaer Polytechnic InstituteAdresse e-mail validée de rpi.edu
Seiya ImotoProfessor of Institute of Medical Science, University of TokyoAdresse e-mail validée de ims.u-tokyo.ac.jp

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Iman Dehzangi

Autres nomsAbdollah Dehzangi

Assistant Professor at the Department of Computer Science, Rutgers University

Adresse e-mail validée de rutgers.edu - Page d'accueil

Computational Biology Bioinformatics Pattern Recognition Machine learning Artificial Intelligence


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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 (1), 11476, 2015	446	2015
A review on deep learning approaches in healthcare systems: Taxonomies, challenges, and open issues S Shamshirband, M Fathi, A Dehzangi, AT Chronopoulos, ... Journal of Biomedical Informatics 113, 103627, 2021	301	2021
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	267	2015
Accurate brain tumor detection using deep convolutional neural network MSI Khan, A Rahman, T Debnath, MR Karim, MK Nasir, SS Band, ... Computational and Structural Biotechnology Journal 20, 4733-4745, 2022	207	2022
SPIDER2: a package to predict secondary structure, accessible surface area, and main-chain torsional angles by deep neural networks Y Yang, R Heffernan, K Paliwal, J Lyons, A Dehzangi, A Sharma, J Wang, ... Prediction of protein secondary structure, 55-63, 2017	193	2017
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	190	2014
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	182	2013
iDTI-ESBoost: identification of drug target interaction using evolutionary and structural features with boosting F Rayhan, S Ahmed, S Shatabda, DM Farid, Z Mousavian, A Dehzangi, ... Scientific reports 7 (1), 17731, 2017	117	2017
PyFeat: a Python-based effective feature generation tool for DNA, RNA and protein sequences R Muhammod, S Ahmed, D Md Farid, S Shatabda, A Sharma, A Dehzangi Bioinformatics 35 (19), 3831-3833, 2019	113	2019
Computer-aided decision-making for predicting liver disease using PSO-based optimized SVM with feature selection JH Joloudari, H Saadatfar, A Dehzangi, S Shamshirband Informatics in medicine unlocked 17, 100255, 2019	112	2019
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	112	2016
SPIN2: Predicting sequence profiles from protein structures using deep neural networks J O'Connell, Z Li, J Hanson, R Heffernan, J Lyons, K Paliwal, A Dehzangi, ... Proteins: Structure, Function, and Bioinformatics 86 (6), 629-633, 2018	107	2018
iDNAProt-ES: identification of DNA-binding proteins using evolutionary and structural features SY Chowdhury, S Shatabda, A Dehzangi Scientific reports 7 (1), 14938, 2017	107	2017
Application of explainable artificial intelligence in medical health: A systematic review of interpretability methods SS Band, A Yarahmadi, CC Hsu, M Biyari, M Sookhak, R Ameri, ... Informatics in Medicine Unlocked 40, 101286, 2023	91	2023
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	91	2015
PSSM-Suc: Accurately predicting succinylation using position specific scoring matrix into bigram for feature extraction A Dehzangi, Y López, SP Lal, G Taherzadeh, J Michaelson, A Sattar, ... Journal of theoretical biology 425, 97-102, 2017	86	2017
Using Random Forest for Protein Fold Prediction Problem: An Empirical Study A Dehzangi, S Phon-Amnuaisuk, O Dehzangi Journal of Information Science and Englineering 26, 1941-1956, 2010	86*	2010
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	83	2014
SPRINT-Gly: predicting N- and O-linked glycosylation sites of human and mouse proteins by using sequence and predicted structural properties G Taherzadeh, A Dehzangi, M Golchin, Y Zhou, MP Campbell Bioinformatics 35 (20), 4140-4146, 2019	75	2019
CNN-KCL: Automatic myocarditis diagnosis using convolutional neural network combined with k-means clustering HAR Danial Sharifrazi, Roohallah Alizadehsani, Javad Hassannataj Joloudari ... Mathematical Biosciences and Engineering 19 (3), 2381-2402, 2022	74	2022

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