Abdollah Dehzangi

Rutgers, The State University of New Jersey — United States

Biochemistry, Genetics and Molecular Biology · Life Sciences

36h-index5.0kcitations163works1.22yr avg
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Research Topics

Machine Learning in Bioinformatics(92), RNA and protein synthesis mechanisms(44), Protein Structure and Dynamics(41), Genomics and Phylogenetic Studies(37), Computational Drug Discovery Methods(24)

Publications162 total

Functional Subpopulations of Hematopoietic Stem Cells and Multipotent Progenitors Classification Using Transfer Learning
2025Open Access
A Review on AI Approaches in Elderly fall Monitoring Systems: Taxonomies, Challenges, and Open Issues
Cognitive Computation·2025Open Access
FinPred: An explainable machine learning tool to accurately predict bidirectional CSR–CFP relationship
Expert Systems with Applications·2025Open Access
Using machine learning for the discovery of epistatic fruit rot resistance markers
Acta Horticulturae·2025
Early Sepsis Prediction Using Publicly Available Data: High-Performance AI/ML Models with First-Hour Clinical Information
Diagnostics·2025Open Access
MT-UGAN: Multi-task GANs for Automatic Segmentation and Identification of Hippocampal Regions
2025
An ensemble-based model comprising deep learning for predicting peptide-binding residues in proteins
NAR Genomics and Bioinformatics·2025Open Access
Automated Subregional Hippocampus Segmentation Using 3D CNNs: A Computational Framework for Brain Aging Biomarker Analysis
Algorithms·2025Open Access
ROIsGAN: A Region Guided Generative Adversarial Framework for Murine Hippocampal Subregion Segmentation
arXiv (Cornell University)·2025Open Access
Population analysis and immunologic landscape of melanoma in people living with HIV indicate impaired antitumor immunity
2025Open Access
DHUpredET: A comparative computational approach for identification of dihydrouridine modification sites in RNA sequence
Analytical Biochemistry·2025· 3 citedOpen Access
Abstract B022: TEDEdb: Transposable element differential expression database
Cancer Research·2025
CNN-Meth: A Tool to Accurately Predict Lysine Methylation Sites Using Evolutionary Information-Based Protein Modeling
Methods in molecular biology·2025
Advancing Non-Invasive Glucose Prediction with Ontology-Integrated Explainable Ai
SSRN Electronic Journal·2025· 2 citedOpen Access
Non-Invasive Glucose Monitoring Using Optical Sensors and Machine Learning: A Predictive Model for Nutritional and Health Assessment
IEEE Access·2025Open Access
Advances in Computational Pipelines and Workflows in Bioinformatics
Elsevier eBooks·2024
Leveraging Large Language Models and Deep Learning for Detecting Illegal Insider Trading
2024· 1 cited
Accurately Identifying Sound vs. Rotten Cranberries Using Convolutional Neural Network
Information·2024· 2 citedOpen Access
Recent development of single-channel EEG-based automated sleep stage classification: Review and future perspectives
Brain-Computer Interfaces·2024· 2 cited
Beyond Algorithms: The Impact of Simplified CNN Models and Multifactorial Influences on Radiological Image Analysis
2024· 2 citedOpen Access
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Frequent Co-authors

Alok Sharma(34), Kuldip K. Paliwal(17), James Lyons(17), Abdul Sattar(17), Tatsuhiko Tsunoda(10), Rhys Heffernan(9), Swakkhar Shatabda(8), Yaoqi Zhou(7), Ghazaleh Taherzadeh(7), Yuedong Yang(6), Shahab S. Band(6), Sunil Pranit Lal(6), Hamid Alinejad‐Rokny(4), Yosvany López(4), Jihua Wang(3), Dewan Md. Farid(3), Javad Hassannataj Joloudari(3), Abel Chandra(3), Anthony T. Chronopoulos(2), Mehdi Sookhak(2)