Iman Dehzangi

Hivatkozott rá

	Összes	2020 óta
Hivatkozások	5180	3323
h-index	37	28
i10-index	84	67

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Társszerzők

Alok SharmaSenior Scientist at RIKEN; Griffith University; Korea UniversityE-mail megerősítve itt: griffith.edu.au
Abdul SattarProfessor of Computer Science, Griffith UniversityE-mail megerősítve itt: griffith.edu.au
Kuldip PaliwalProfessor (Chair, Communication and Information Engineering), Griffith University, BrisbaneE-mail megerősítve itt: griffith.edu.au
James LyonsUnaffiliatedE-mail megerősítve itt: griffithuni.edu.au
Swakkhar ShatabdaBRAC UniversityE-mail megerősítve itt: bracu.ac.bd
Tatsuhiko TsunodaProfessor, The University of TokyoE-mail megerősítve itt: bs.s.u-tokyo.ac.jp
Rhys HeffernanGriffith UniversityE-mail megerősítve itt: griffith.edu.au
Hamid Alinejad-RoknyARC DECRA & UNSW Scientia Fellow, Head of BioMedical Machine Learning LabE-mail megerősítve itt: unsw.edu.au
Yaoqi ZhouSenior Principal Investigator, Institute of Systems & Physical Biology, Shenzhen Bay LaboratoryE-mail megerősítve itt: szbl.ac.cn
Gazelle TaherzadehWilkes UniversityE-mail megerősítve itt: wilkes.edu
Yuedong YangSchool of Computer Science and Engineering, Sun Yat-sen UniversityE-mail megerősítve itt: mail.sysu.edu.cn
Yosvany López, Ph.D.Senior Bioinformatics Scientist, Azenta Life SciencesE-mail megerősítve itt: azenta.com
Abel Avitesh ChandraGriffith UniversityE-mail megerősítve itt: griffithuni.edu.au
Sajid AhmedGraduate Student, Vanderbilt UniversityE-mail megerősítve itt: vanderbilt.edu
Amin BeheshtiFull Professor, School of Computing, Macquarie University, Sydney, AustraliaE-mail megerősítve itt: mq.edu.au
Somnuk Phon-AmnuaisukProfessor, Universiti Teknologi BruneiE-mail megerősítve itt: utb.edu.bn
Harsh SainiUniversity of the South PacificE-mail megerősítve itt: usp.ac.fj
Seiya ImotoProfessor of Institute of Medical Science, University of TokyoE-mail megerősítve itt: ims.u-tokyo.ac.jp
S BandAssociate Professor of CS (SMIEEE)E-mail megerősítve itt: yuntech.edu.tw
Ronesh SharmaFiji National UniversityE-mail megerősítve itt: fnu.ac.fj

Követés

Iman Dehzangi

További nevekAbdollah Dehzangi

Assistant Professor at the Department of Computer Science, Rutgers University

E-mail megerősítve itt: rutgers.edu - Kezdőlap

Computational Biology Bioinformatics Pattern Recognition Machine learning Artificial Intelligence


Cím Rendezés hivatkozások szerint Rendezés év szerint Rendezés cím szerint	Hivatkozott rá Hivatkozott rá	Év
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	454	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	310	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	218	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	194	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	192	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	181	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	121	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	117	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	115	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	109	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	102	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	88	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	86	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	83	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	79	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	78	2019

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