| A stacking ensemble deep learning approach to cancer type classification based on TCGA data M Mohammed, H Mwambi, IB Mboya, MK Elbashir, B Omolo Scientific reports 11 (1), 15626, 2021 | 93 | 2021 |
| Lightweight Convolutional Neural Network for Breast Cancer Classification Using RNA-Seq Gene Expression Data MK Elbashir, M Ezz, M Mohammed, SS Saloum IEEE Access 7, 185338-185348, 2019 | 61 | 2019 |
| Prediction of perinatal death using machine learning models: a birth registry-based cohort study in northern Tanzania IB Mboya, MJ Mahande, M Mohammed, J Obure, HG Mwambi BMJ open 10 (10), 2020 | 36 | 2020 |
| Using stacking ensemble for microarray-based cancer classification M Mohammed, H Mwambi, B Omolo, MK Elbashir 2018 International Conference on Computer, Control, Electrical, and …, 2018 | 28 | 2018 |
| Prevalence and factors associated with self-reported HIV testing among adolescent girls and young women in Rwanda: evidence from 2019/20 Rwanda Demographic and Health Survey A Musekiwa, P Silinda, A Bamogo, HS Twabi, M Mohammed, ... BMC Public Health 22 (1), 1281, 2022 | 19 | 2022 |
| Predictors of colorectal cancer survival using cox regression and random survival forests models based on gene expression data M Mohammed, IB Mboya, H Mwambi, MK Elbashir, B Omolo Plos one 16 (12), e0261625, 2021 | 13 | 2021 |
| Colorectal Cancer Classification and Survival Analysis Based on an Integrated RNA and DNA Molecular Signature M Mohammed, H Mwambi, B Omolo Current Bioinformatics 16 (4), 583-600, 2021 | 8 | 2021 |
| Identification of Hub Genes Associated with Breast Cancer Using Integrated Gene Expression Data with Protein-Protein Interaction Network MK Elbashir, M Mohammed, H Mwambi, B Omolo Applied Sciences 13 (4), 2403, 2023 | 5 | 2023 |
| A bio-inspired convolution neural network architecture for automatic breast cancer detection and classification using RNA-Seq gene expression data TIA Mohamed, AE Ezugwu, JV Fonou-Dombeu, AM Ikotun, M Mohammed Scientific Reports 13 (1), 14644, 2023 | 4 | 2023 |
| Fine-Tuning Pre-Trained Convolutional Neural Networks for Women Common Cancer Classification using RNA-Seq Gene Expression F Alharbi, MK Elbashir, M Mohammed, ME Mustafa International Journal of Advanced Computer Science and Applications 11 (11), 2020 | 4 | 2020 |
| Mapping evidence on the burden of breast, cervical, and prostate cancers in Sub-Saharan Africa: a scoping review A Musekiwa, M Moyo, M Mohammed, Z Matsena-Zingoni, HS Twabi, ... Frontiers in Public Health 10, 908302, 2022 | 2 | 2022 |
| A Comparison of Cancer Classification Methods Based on Microarray Data M Mohammed, H Mwambi, B Omolo University of KwaZulu-Natal, 2018 | 2 | 2018 |
| A novel feature selection algorithm for identifying hub genes in lung cancer TIA Mohamed, AE Ezugwu, JV Fonou-Dombeu, M Mohammed, J Greeff, ... Scientific Reports 13 (1), 21671, 2023 | 1 | 2023 |
| Bayesian spatial modelling of intimate partner violence and associated factors among adult women and men: evidence from 2019/2020 Rwanda Demographic and Health Survey I Maposa, HS Twabi, Z Matsena-Zingoni, JM Batidzirai, G Singini, ... BMC Public Health 23 (1), 2061, 2023 | 1 | 2023 |
| SVM and Naïve Bayes Stacking Approach for Improving Gene Expression Data Classification Using Logistic Regression. AB Musa, M Mohammed, FA Mussallum, MK Elbashir International Journal of Advances in Soft Computing & Its Applications 13 (1), 2021 | 1 | 2021 |
| An Approach for Cancer-Type Classification Using Feature Selection Techniques with Convolutional Neural Network SN Almuayqil, MK Elbashir, M Ezz, M Mohammed, AM Mostafa, M Alruily, ... Applied Sciences 13 (19), 10919, 2023 | | 2023 |
| Statistical and deep learning methods for cancer genomic data. Izindlela zokufunda ezijulile zezibalomidanti zemininingo yeqoqozinhlayiyafuzo lomdlavuza. MMA Mohammed | | 2021 |
| Statistical and deep learning methods for cancer genomic data. MMA Mohammed | | 2021 |
| An Integrated RNA and DNA Molecular Signature for Colorectal Cancer Classification M Mohammed, H Mwambi, B Omolo | | 2020 |
