Lightweight Convolutional Neural Network for Breast Cancer Classification Using RNA-Seq Gene Expression Data. - Murtada Khalafallah Elbashir; Mohamed M. Ezz; Mohanad Mohammed; Said S. Saloum (IEEE Access, 2019)

LASSO-MOGAT: A Multi-Omics Graph Attention Framework for Cancer Classification. - Fadi Alharbi; Aleksandar Vakanski; Murtada Khalafallah Elbashir; Mohanad Mohammed (CoRR, 2024)

Comparative Analysis of Multi-Omics Integration Using Advanced Graph Neural Networks for Cancer Classification. - Fadi Alharbi; Aleksandar Vakanski; Boyu Zhang 004; Murtada K. Elbashir; Mohanad Mohammed (CoRR, 2024)

Comparative Analysis of Multi-Omics Integration Using Graph Neural Networks for Cancer Classification. - Fadi Alharbi; Aleksandar Vakanski; Boyu Zhang 004; Murtada K. Elbashir; Mohanad Mohammed (IEEE Access, 2025)

Comprehensive Network Analysis of Lung Cancer Biomarkers Identifying Key Genes Through RNA-Seq Data and PPI Networks. - Meshrif Alruily; Murtada K. Elbashir; Mohamed M. Ezz; Bader Aldughayfiq; Majed Abdullah Alrowaily; Hisham Allahem; Mohanad Mohammed; Elsayed Mostafa; Ayman Mohamed Mostafa (Int. J. Intell. Syst., 2025)

Graph Kolmogorov-Arnold Networks for Multi-Cancer Classification and Biomarker Identification, An Interpretable Multi-Omics Approach. - Fadi Alharbi; Nishant Budhiraja; Aleksandar Vakanski; Boyu Zhang 004; Murtada K. Elbashir; Mohanad Mohammed (CoRR, 2025)

Deep learning models for the analysis of high-dimensional survival data with time-varying covariates while handling missing data. - Sarah Ogutu; Mohanad Mohammed; Henry Mwambi (Discov. Artif. Intell., 2025)