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Mohanad Mohammed

Showing results (1-10 of 23) with videos related to

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Scientific Reports|December 2, 2024
Cytokine profiles as predictors of HIV incidence using machine learning survival models and statistical interpretable techniquesSarah Ogutu, Mohanad Mohammed, Henry Mwambi
Frontiers in Public Health|July 10, 2024
Investigating the effects of cytokine biomarkers on HIV incidence: a case study for individuals randomized to pre-exposure prophylaxis vs. controlSarah Ogutu, Mohanad Mohammed, Henry Mwambi
Diagnostics (Basel, Switzerland)|October 16, 2024
Enhancing Non-Small Cell Lung Cancer Survival Prediction through Multi-Omics Integration Using Graph Attention NetworkMurtada K Elbashir, Abdullah Almotilag, Mahmood A Mahmood, et al.
IEEE Access : Practical Innovations, Open Solutions|March 24, 2025
Comparative Analysis of Multi-Omics Integration Using Graph Neural Networks for Cancer ClassificationFadi Alharbi, Aleksandar Vakanski, Boyu Zhang, et al.
Scientific Reports|August 3, 2021
A stacking ensemble deep learning approach to cancer type classification based on TCGA dataMohanad Mohammed, Henry Mwambi, Innocent B Mboya, et al.
Plos One|December 29, 2021
Predictors of colorectal cancer survival using cox regression and random survival forests models based on gene expression dataMohanad Mohammed, Innocent B Mboya, Henry Mwambi, et al.
BMJ Open|October 20, 2020
Prediction of perinatal death using machine learning models: a birth registry-based cohort study in northern TanzaniaInnocent B Mboya, Michael J Mahande, Mohanad Mohammed, et al.
Scientific Reports|July 29, 2025
Interpretable graph Kolmogorov-Arnold networks for multi-cancer classification and biomarker identification using multi-omics dataFadi Alharbi, Nishant Budhiraja, Aleksandar Vakanski, et al.
Arxiv|July 31, 2025
Interpretable Graph Kolmogorov-Arnold Networks for Multi-Cancer Classification and Biomarker Identification using Multi-Omics DataFadi Alharbi, Nishant Budhiraja, Aleksandar Vakanski, et al.
Scientific Reports|September 5, 2023
A bio-inspired convolution neural network architecture for automatic breast cancer detection and classification using RNA-Seq gene expression dataTehnan I A Mohamed, Absalom E Ezugwu, Jean Vincent Fonou-Dombeu, et al.
Pageof 3

Showing results (1-10 of 23) with videos related to

Sort By:
Pageof 3
Scientific Reports|December 2, 2024
Cytokine profiles as predictors of HIV incidence using machine learning survival models and statistical interpretable techniquesSarah Ogutu, Mohanad Mohammed, Henry Mwambi
Frontiers in Public Health|July 10, 2024
Investigating the effects of cytokine biomarkers on HIV incidence: a case study for individuals randomized to pre-exposure prophylaxis vs. controlSarah Ogutu, Mohanad Mohammed, Henry Mwambi
Diagnostics (Basel, Switzerland)|October 16, 2024
Enhancing Non-Small Cell Lung Cancer Survival Prediction through Multi-Omics Integration Using Graph Attention NetworkMurtada K Elbashir, Abdullah Almotilag, Mahmood A Mahmood, et al.
IEEE Access : Practical Innovations, Open Solutions|March 24, 2025
Comparative Analysis of Multi-Omics Integration Using Graph Neural Networks for Cancer ClassificationFadi Alharbi, Aleksandar Vakanski, Boyu Zhang, et al.
Scientific Reports|August 3, 2021
A stacking ensemble deep learning approach to cancer type classification based on TCGA dataMohanad Mohammed, Henry Mwambi, Innocent B Mboya, et al.
Plos One|December 29, 2021
Predictors of colorectal cancer survival using cox regression and random survival forests models based on gene expression dataMohanad Mohammed, Innocent B Mboya, Henry Mwambi, et al.
BMJ Open|October 20, 2020
Prediction of perinatal death using machine learning models: a birth registry-based cohort study in northern TanzaniaInnocent B Mboya, Michael J Mahande, Mohanad Mohammed, et al.
Scientific Reports|July 29, 2025
Interpretable graph Kolmogorov-Arnold networks for multi-cancer classification and biomarker identification using multi-omics dataFadi Alharbi, Nishant Budhiraja, Aleksandar Vakanski, et al.
Arxiv|July 31, 2025
Interpretable Graph Kolmogorov-Arnold Networks for Multi-Cancer Classification and Biomarker Identification using Multi-Omics DataFadi Alharbi, Nishant Budhiraja, Aleksandar Vakanski, et al.
Scientific Reports|September 5, 2023
A bio-inspired convolution neural network architecture for automatic breast cancer detection and classification using RNA-Seq gene expression dataTehnan I A Mohamed, Absalom E Ezugwu, Jean Vincent Fonou-Dombeu, et al.
Pageof 3