Abedalrhman Alkhateeb

Orcid: 0000-0002-1751-7570

According to our database1, Abedalrhman Alkhateeb authored at least 12 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Machine Learning Model for Multiomics Biomarkers Identification for Menopause Status in Breast Cancer.
Algorithms, 2024

2023
Explainable artificial intelligence model for identifying COVID-19 gene biomarkers.
Comput. Biol. Medicine, March, 2023

Machine Learning Model to Predict Autism Spectrum Disorder Using Eye Gaze Tracking.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

The Epidemiology and Trends of Cancer in Jordan, 2012-2018.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Establishing a Correlation of Clinical Characteristics with the Level of Tumor Mutation Burden in Urothelial Bladder Carcinoma.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
Multi-omics Data Integration Model based on Isomap and Convolutional Neural Network.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

2020
A novel approach to identify subtype-specific network biomarkers of breast cancer survivability.
Netw. Model. Anal. Health Informatics Bioinform., 2020

2018
Identification of the Treatment Survivability Gene Biomarkers of Breast Cancer Patients via a Tree-Based Approach.
Proceedings of the Bioinformatics and Biomedical Engineering, 2018

Predicting Tumor Locations in Prostate Cancer Tissue Using Gene Expression.
Proceedings of the Bioinformatics and Biomedical Engineering, 2018

2017
Zseq: An Approach for Preprocessing Next-Generation Sequencing Data.
J. Comput. Biol., 2017

Finding Transcripts Associated with Prostate Cancer Gleason Stages Using Next Generation Sequencing and Machine Learning Techniques.
Proceedings of the Bioinformatics and Biomedical Engineering, 2017

2016
Identification of discriminative genes for predicting breast cancer subtypes.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016


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