Iman Dehzangi

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Soavtorji

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

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Iman Dehzangi

Druga imenaAbdollah Dehzangi

Assistant Professor at the Department of Computer Science, Rutgers University

Preverjeni e-poštni naslov na rutgers.edu - Domača stran

Computational Biology Bioinformatics Pattern Recognition Machine learning Artificial Intelligence


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
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	216	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	101	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	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	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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