Abedalrhman Alkhateeb

Scopus Author ID Loop profile Loop profile ORCID

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 11

Top Topics

Prostate Cancer

Machine Learning

Artificial Intelligence

Top Venues

Diagnostics (Basel, Switzerland)

BMC bioinformatics

This page only lists publications with an associated author ORCID identifier.

Publications

Fatma Hilal Yagın, Fahaid Al-Hashem, Irshad A Ahmad, Fuzail Ahmad, Abedalrhman Alkhateeb
Pilot-Study to Explore Metabolic Signature of Type 2 Diabetes: A Pipeline of Tree-Based Machine Learning and Bioinformatics Techniques for Biomarkers Discovery. Nutrients 16 (10) (2024)
Fatma Hilal Yagın, Fahaid Al-Hashem, Irshad A Ahmad, Fuzail Ahmad, Abedalrhman Alkhateeb
Pilot-Study to Explore Metabolic Signature of Type 2 Diabetes: A Pipeline of Tree-Based Machine Learning and Bioinformatics Techniques for Biomarkers Discovery. Nutrients 16 (10) (2024)
Fatma Hilal Yagın, Seyma Yasar, Yasin Görmez, Burak Yagin, Abdulvahap Pinar, Abedalrhman Alkhateeb, Luca Paolo Ardigò
Explainable Artificial Intelligence Paves the Way in Precision Diagnostics and Biomarker Discovery for the Subclass of Diabetic Retinopathy in Type 2 Diabetics. Metabolites 13 (12) (2023)
Fatma Hilal Yagın, Abedalrhman Alkhateeb, Cemil Çolak, Mohammad Azzeh, Burak Yagin, Luis Rueda
A Fecal-Microbial-Extracellular-Vesicles-Based Metabolomics Machine Learning Framework and Biomarker Discovery for Predicting Colorectal Cancer Patients. Metabolites 13 (5) (2023)
Fatma Hilal Yagın, Abedalrhman Alkhateeb, Ali Raza, Nagwan Abdel Samee, Noha F Mahmoud, Cemil Çolak, Burak Yagin
An Explainable Artificial Intelligence Model Proposed for the Prediction of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and the Identification of Distinctive Metabolites. Diagnostics (Basel, Switzerland) 13 (23) (2023)
Fatma Hilal Yagın, Seyma Yasar, Yasin Görmez, Burak Yagin, Abdulvahap Pinar, Abedalrhman Alkhateeb, Luca Paolo Ardigò
Explainable Artificial Intelligence Paves the Way in Precision Diagnostics and Biomarker Discovery for the Subclass of Diabetic Retinopathy in Type 2 Diabetics. Metabolites 13 (12) (2023)
Fatma Hilal Yagın, Seyma Yasar, Yasin Görmez, Burak Yagin, Abdulvahap Pinar, Abedalrhman Alkhateeb, Luca Paolo Ardigò
Explainable Artificial Intelligence Paves the Way in Precision Diagnostics and Biomarker Discovery for the Subclass of Diabetic Retinopathy in Type 2 Diabetics. Metabolites 13 (12) (2023)
Li Zhou, Maria Rueda, Abedalrhman Alkhateeb
Classification of Breast Cancer Nottingham Prognostic Index Using High-Dimensional Embedding and Residual Neural Network. Cancers 14 (4) (2022)
Osama Hamzeh, Abedalrhman Alkhateeb, Julia Zheng, Srinath Kandalam, Luis Rueda
Prediction of tumor location in prostate cancer tissue using a machine learning system on gene expression data. BMC bioinformatics 21 (Suppl 2) (2020)
Osama Hamzeh, Abedalrhman Alkhateeb, Julia Zhuoran Zheng, Srinath Kandalam, Crystal Leung, Govindaraja Atikukke, Dora Cavallo-Medved, Nallasivam Palanisamy, Luis Rueda
A Hierarchical Machine Learning Model to Discover Gleason Grade-Specific Biomarkers in Prostate Cancer. Diagnostics (Basel, Switzerland) 9 (4) (2019)
Abedalrhman Alkhateeb, Iman Rezaeian, Siva Singireddy, Dora Cavallo-Medved, Lisa A Porter, Luis Rueda
Transcriptomics Signature from Next-Generation Sequencing Data Reveals New Transcriptomic Biomarkers Related to Prostate Cancer. Cancer informatics 18 (2019)