Mohammed Aleskandarany
| Name | Mohammed Aleskandarany |
|---|---|
| Job title | Senior Lecturer in Biomedical Science (Histopathology) |
| Research institute | College of Science and Engineering |
| ORCID | https://orcid.org/0000-0001-5538-5946 |
Research outputs
Cell cycle traverse rate predicts long-term outcomes in a multi-institutional cohort of patients with triple-negative breast cancer
Aleskandarany, M. 2024. Cell cycle traverse rate predicts long-term outcomes in a multi-institutional cohort of patients with triple-negative breast cancer. BJC Reports. pp. 1-10. https://doi.org/10.1038/s44276-024-00097-zGraphX-Net: A Graph Neural Network-Based Shapley Values for Predicting Breast Cancer Occurrence
Basaad, A., Basurra, S., Vakaj, E. and Aleskandarany, M. 2024. GraphX-Net: A Graph Neural Network-Based Shapley Values for Predicting Breast Cancer Occurrence. IEEE Access. 12, pp. 93993 - 94007. https://doi.org/https://doi.org/10.1109/ACCESS.2024.3424526Oestrogen-regulated protein SLC39A6: a biomarker of good prognosis in luminal breast cancer
Althobiti, M., El-sharawy, K. A., Joseph, C., Aleskandarany, M., Toss, M. S., Green, A. R. and Rakha, E. A. 2021. Oestrogen-regulated protein SLC39A6: a biomarker of good prognosis in luminal breast cancer. Breast Cancer Research and Treatment. 189 (3), pp. 621-630. https://doi.org/10.1007/s10549-021-06336-y32
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