Iman Dehzangi
机构: Assistant Professor at the Department of Computer Science, Rutgers University
主页: rutgers.edu
每年引用次数
引用次数
引用: 4,573
H-指数: 37
I10-指数 : 80
出版物: 129
CNN-Pred: Prediction of single-stranded and double-stranded DNA-binding protein using convolutional neural networks
Farnoush Manavi , Alok Sharma , Ronesh Sharma , Tatsuhiko Tsunoda
Gene 853 147045
2
2023
A Critical Review of the Impact of Candidate Copy Number Variants on Autism Spectrum Disorders
Seyedeh Sedigheh Abedini , Shiva Akhavan , Julian Heng , Roohallah Alizadehsani
arXiv preprint arXiv:2302.03211
2023
Revolutionizing genomics with reinforcement learning techniques
Mohsen Karami , Roohallah Alizadehsani , Ahmadreza Argha , Iman Dehzangi
arXiv preprint arXiv:2302.13268
2023
Integrative analysis of mutated genes and mutational processes reveals novel mutational biomarkers in colorectal cancer
Hamed Dashti , Iman Dehzangi , Masroor Bayati , James Breen
BMC bioinformatics 23 ( 1) 138 -138
15
2022
PepCNN deep learning tool for predicting peptide binding residues in proteins using sequence, structural, and language model features
Abel Chandra , Alok Sharma , Iman Dehzangi , Tatsuhiko Tsunoda
Scientific reports 13 ( 1) 20882 -20882
2
2023
Predicting Phosphoglycerylation with Transformer Features and Deep Learning
Abel Chandra , Alok Sharma , Iman Dehzangi , Tatsuhiko Tsunoda
2023 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE) 1 -6
2023
Deep Learning for Protein Peptide binding Prediction: Incorporating Sequence, Structural and Language Model Features
Abel Chandra , Alok Sharma , Iman Dehzangi , Tatsuhiko Tsunoda
bioRxiv 2023.09. 02.556055 -2023.09. 02.556055
2023
Pan-cancer integrative analysis of whole-genome De novo somatic point mutations reveals 17 cancer types
Amin Ghareyazi , Amirreza Kazemi , Kimia Hamidieh , Hamed Dashti
Nature BMC bioinformatics 23 ( 1) 1 -21
1
2022
An Investigation of Hepatitis B Virus Genome using Markov Models
Elnaz Shalbafian , Morteza Saberi , Roohallah Alizadehsani , Iman Dehzangi
arXiv preprint arXiv:2311.06699
2023
A convolutional neural network based tool for predicting protein AMPylation sites from binary profile representation
Sayed Mehedi Azim , Alok Sharma , Iman Noshadi , Swakkhar Shatabda
Scientific reports 12 ( 1) 11451 -11451
8
2022
MethEvo: an accurate evolutionary information-based methylation site predictor
Sadia Islam , Shafayat Bin Shabbir Mugdha , Shubhashis Roy Dipta , MD Easin Arafat
Neural Computing and Applications 36 ( 1) 201 -212
3
2024
Accurately predicting microbial phosphorylation sites using evolutionary and structural features
Faisal Ahmed , Iman Dehzangi , Md Mehedi Hasan , Swakkhar Shatabda
Gene 851 146993 -146993
3
2023
iProtGly-SS: A Tool to Accurately Predict Protein Glycation Site Using Structural-Based Features
Iman Dehzangi , Alok Sharma , Swakkhar Shatabda
Springer US 125 -134
3
2022
Accurately predicting anticancer peptide using an ensemble of heterogeneously trained classifiers
Sayed Mehedi Azim , Noor Hossain Nuri Sabab , Iman Noshadi , Hamid Alinejad-Rokny
Informatics in Medicine Unlocked 42 101348 -101348
1
2023
Predicting lysine methylation sites using a convolutional neural network
Austin Spadaro , Alok Sharma , Iman Dehzangi
Methods 226 127 -132
2024
Accurate brain tumor detection using deep convolutional neural network
Md Saikat Islam Khan , Anichur Rahman , Tanoy Debnath , Md Razaul Karim
Computational and Structural Biotechnology Journal 20 4733 -4745
107
2022
Application of explainable artificial intelligence in medical health: A systematic review of interpretability methods
Shahab S Band , Atefeh Yarahmadi , Chung-Chian Hsu , Meghdad Biyari
Informatics in Medicine Unlocked 101286 -101286
27
2023
Hybrid feature fusion and machine learning approaches for melanoma skin cancer detection
Md Mahbubur Rahman , Mostofa Kamal Nasir , A Nur , Saikat Islam Khan
Preprints
16
2022
Programmable bio-ionic liquid functionalized hydrogels for in situ 3D bioprinting of electronics at the tissue interface
Vaishali Krishnadoss , Baishali Kanjilal , Arameh Masoumi , Aihik Banerjee
Materials Today Advances 17 100352 -100352
9
2023
A survey on machine learning and internet of medical things-based approaches for handling COVID-19: Meta-analysis
Shahab S Band , Sina Ardabili , Atefeh Yarahmadi , Bahareh Pahlevanzadeh
Frontiers in Public Health 10 869238 -869238
9
2022
Alok Sharma Abdul Sattar Kuldip Paliwal James Lyons Swakkhar Shatabda Tatsuhiko Tsunoda Rhys Heffernan Yaoqi Zhou Gazelle Taherzadeh Hamid Alinejad-Rokny Yuedong Yang Yosvany López, Ph.D. Dewan Md. Farid Sajid Ahmed Somnuk Phon-Amnuaisuk Harsh Saini Seiya Imoto Newton M A Hakim Ronesh Sharma Shubhashis Roy Dipta