Iman Dehzangi

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Alok SharmaSenior Scientist at RIKEN; Griffith University; Korea UniversityGeverifieerd e-mailadres voor griffith.edu.au
Abdul SattarProfessor of Computer Science, Griffith UniversityGeverifieerd e-mailadres voor griffith.edu.au
Kuldip PaliwalProfessor (Chair, Communication and Information Engineering), Griffith University, BrisbaneGeverifieerd e-mailadres voor griffith.edu.au
James LyonsUnaffiliatedGeverifieerd e-mailadres voor griffithuni.edu.au
Swakkhar ShatabdaBRAC UniversityGeverifieerd e-mailadres voor bracu.ac.bd
Tatsuhiko TsunodaProfessor, The University of TokyoGeverifieerd e-mailadres voor bs.s.u-tokyo.ac.jp
Rhys HeffernanGriffith UniversityGeverifieerd e-mailadres voor griffith.edu.au
Hamid Alinejad-RoknyARC DECRA & UNSW Scientia Fellow, Head of BioMedical Machine Learning LabGeverifieerd e-mailadres voor unsw.edu.au
Yaoqi ZhouSenior Principal Investigator, Institute of Systems & Physical Biology, Shenzhen Bay LaboratoryGeverifieerd e-mailadres voor szbl.ac.cn
Gazelle TaherzadehWilkes UniversityGeverifieerd e-mailadres voor wilkes.edu
Yuedong YangSchool of Computer Science and Engineering, Sun Yat-sen UniversityGeverifieerd e-mailadres voor mail.sysu.edu.cn
Yosvany López, Ph.D.Senior Bioinformatics Scientist, Azenta Life SciencesGeverifieerd e-mailadres voor azenta.com
Abel Avitesh ChandraGriffith UniversityGeverifieerd e-mailadres voor griffithuni.edu.au
Sajid AhmedGraduate Student, Vanderbilt UniversityGeverifieerd e-mailadres voor vanderbilt.edu
Dewan Md. FaridProfessor of Computer Science, United International UniversityGeverifieerd e-mailadres voor cse.uiu.ac.bd
Somnuk Phon-AmnuaisukProfessor, Universiti Teknologi BruneiGeverifieerd e-mailadres voor utb.edu.bn
Amin BeheshtiFull Professor, School of Computing, Macquarie University, Sydney, AustraliaGeverifieerd e-mailadres voor mq.edu.au
Harsh SainiUniversity of the South PacificGeverifieerd e-mailadres voor usp.ac.fj
Seiya ImotoProfessor of Institute of Medical Science, University of TokyoGeverifieerd e-mailadres voor ims.u-tokyo.ac.jp
S BandAssociate Professor of CS (SMIEEE)Geverifieerd e-mailadres voor yuntech.edu.tw

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Iman Dehzangi

Andere namenAbdollah Dehzangi

Assistant Professor at the Department of Computer Science, Rutgers University

Geverifieerd e-mailadres voor rutgers.edu - Homepage

Computational Biology Bioinformatics Pattern Recognition Machine learning Artificial Intelligence


Titel Sorteren op citaties Sorteren op jaar Sorteren op titel	Geciteerd door Geciteerd door	Jaar
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	450	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	265	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	192	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	191	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	180	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	120	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	114	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	113	2016
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
iDNAProt-ES: identification of DNA-binding proteins using evolutionary and structural features SY Chowdhury, S Shatabda, A Dehzangi Scientific reports 7 (1), 14938, 2017	108	2017
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
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	96	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	87	2015
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	87*	2010
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	85	2017
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	82	2014
ACP-MHCNN: an accurate multi-headed deep-convolutional neural network to predict anticancer peptides S Ahmed, R Muhammod, ZH Khan, S Adilina, A Sharma, S Shatabda, ... Scientific reports 11 (1), 23676, 2021	75	2021
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

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