Identification of discriminative genes for predicting breast cancer subtypes. - Roohollah Etemadi; Abedalrhman Alkhateeb; Iman Rezaeian; Luis Rueda 001 (BIBM, 2016)

Finding Transcripts Associated with Prostate Cancer Gleason Stages Using Next Generation Sequencing and Machine Learning Techniques. - Osama Hamzeh; Abedalrhman Alkhateeb; Iman Rezaeian; Aram Karkar; Luis Rueda 001 (IWBBIO (2), 2017)

Zseq: An Approach for Preprocessing Next-Generation Sequencing Data. - Abedalrhman Alkhateeb; Luis Rueda 001 (J. Comput. Biol., 2017)

Predicting Tumor Locations in Prostate Cancer Tissue Using Gene Expression. - Osama Hamzeh; Abedalrhman Alkhateeb; Luis Rueda 001 (IWBBIO (1), 2018)

Identification of the Treatment Survivability Gene Biomarkers of Breast Cancer Patients via a Tree-Based Approach. - Ashraf Abou Tabl; Abedalrhman Alkhateeb; Luis Rueda 001; Waguih H. ElMaraghy; Alioune Ngom (IWBBIO (1), 2018)

A novel approach to identify subtype-specific network biomarkers of breast cancer survivability. - Sheikh Jubair; Abedalrhman Alkhateeb; Ashraf Abou Tabl; Luis Rueda 001; Alioune Ngom (Netw. Model. Anal. Health Informatics Bioinform., 2020)

Multi-omics Data Integration Model based on Isomap and Convolutional Neural Network. - Abedalrhman Alkhateeb; Bashier ElKarami; Hazem Qattous; Abdullah Al-Refai; Noor AlAfeshat; Behnam Shahrrava; Mohammad Azzeh (ICMLA, 2022)

Establishing a Correlation of Clinical Characteristics with the Level of Tumor Mutation Burden in Urothelial Bladder Carcinoma. - Lujain Alshomali; Rania Khorma; Abdullah Al-Refai; Abedalrhman Alkhateeb (BIBM, 2023)

The Epidemiology and Trends of Cancer in Jordan, 2012-2018. - Mohammad Asad; Abdullah Al-Refai; Saqr Abu Shattal; Abedalrhman Alkhateeb (BIBM, 2023)

Machine Learning Model to Predict Autism Spectrum Disorder Using Eye Gaze Tracking. - Usman Fakhar; Bashier ElKarami; Abedalrhman Alkhateeb (BIBM, 2023)

Explainable artificial intelligence model for identifying COVID-19 gene biomarkers. - Fatma Hilal Yagin; Ipek Balikci Cicek; Abedalrhman Alkhateeb; Burak Yagin; Cemil Colak; Mohammad Azzeh; Sami Akbulut (Comput. Biol. Medicine, 2023)

Machine Learning Model for Anxiety Disorder Diagnosis Based on Sensory Time-Series Data. - Usman Fakhar; Malek M. Alsmadi; Abedalrhman Alkhateeb (IWBBIO (1), 2024)

Machine Learning Model for Multiomics Biomarkers Identification for Menopause Status in Breast Cancer. - Firas Alghanim; Ibrahim Al-Hurani; Hazem Qattous; Abdullah Al-Refai; Osamah Batiha; Abedalrhman Alkhateeb; Salama Ikki (Algorithms, 2024)

An Autoencoder and Generative Adversarial Networks Approach for Multi-Omics Data Imbalanced Class Handling and Classification. - Ibrahim Al-Hurani; Abedalrhman Alkhateeb; Salama Ikki (CoRR, 2024)

Software effort estimation using convolutional neural network and fuzzy clustering. - Mohammad Azzeh; Abedalrhman Alkhateeb; Ali Bou Nassif (Neural Comput. Appl., 2024)

NMF-guided feature selection and genetic algorithm-driven framework for tumor mutational burden classification in bladder cancer using multi-omics data. - Ibrahim Abed Al-Ghafer; Noor AlAfeshat; Lujain Alshomali; Shaheen Alanee; Hazem Qattous; Mohammad Azzeh; Abedalrhman Alkhateeb (Netw. Model. Anal. Health Informatics Bioinform., 2024)

Two-stage object detection in low-light environments using deep learning image enhancement. - Ghaith Al-Refai; Hisham ElMoaqet; Abdullah Al-Refai; Ahmad AlZu'bi; Tawfik Al Hadhrami; Abedalrhman Alkhateeb (PeerJ Comput. Sci., 2025)

Correction: Software effort estimation using convolutional neural network and fuzzy clustering. - Mohammad Azzeh; Abedalrhman Alkhateeb; Ali Bou Nassif (Neural Comput. Appl., 2025)