ID
Iman dehzangi
Also known as: Abdollah Dehzangi
Rutgers University Camden, Morgan State University, Griffith University
Research areas: Biochemistry, Genetics and Molecular Biology · Molecular Biology · Machine Learning in Bioinformatics · Protein Structure and Dynamics · Enzyme Structure and Function
Employment
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Rutgers University Camden Assistant professor2020 - Present
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Morgan State University Assistant Professor2017 - 2020
Education
- 2011 - 2015
Projects & Funding
Projects & funding information is unavailable.
Publications (122)
- TEDEdb: A multicohort analysis and resource for transposable element differential expression in cancer Save
- ROIsGAN: A region guided generative adversarial framework for murine hippocampal subregion segmentation Save
- Explainable AI Applications in Healthcare: A Systematic Review Save
- FinPred: An explainable machine learning tool to accurately predict bidirectional CSR–CFP relationship Save
- MT-UGAN: Multi-task GANs for Automatic Segmentation and Identification of Hippocampal Regions Save
- Automated Subregional Hippocampus Segmentation Using 3D CNNs: A Computational Framework for Brain Aging Biomarker Analysis Save
- DeepPhoPred: Accurate Deep Learning Model to Predict Microbial Phosphorylation Save
- Non-Invasive Glucose Monitoring Using Optical Sensors and Machine Learning: A Predictive Model for Nutritional and Health Assessment Save
- Accurately Identifying Sound vs. Rotten Cranberries Using Convolutional Neural Network Save
- Explainable Machine Learning Model to Accurately Predict Protein-Binding Peptides Save
- New Multi-View Feature Learning Method for Accurate Antifungal Peptide Detection Save
- A Critical Review of the Impact of Candidate Copy Number Variants on Autism Spectrum Disorders Save
- Accurately predicting anticancer peptide using an ensemble of heterogeneously trained classifiers Save
- Accurately predicting microbial phosphorylation sites using evolutionary and structural features Save
- Application of explainable artificial intelligence in medical health: A systematic review of interpretability methods Save
- Bioionic Liquids: Enabling a Paradigm Shift Toward Advanced and Smart Biomedical Applications Save
- CNN-Pred: Prediction of single-stranded and double-stranded DNA-binding protein using convolutional neural networks Save
- Deep Learning for Protein–peptide binding Prediction: Incorporating Sequence, Structural and Language Model Features Save
- Programmable bio-ionic liquid functionalized hydrogels for in situ 3D bioprinting of electronics at the tissue interface Save
- Revolutionizing Genomics with Reinforcement Learning Techniques Save