Abedalrhman Alkhateeb
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Lakehead Universityas of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
- ORCID iD
- 0000-0002-1751-7570
- OpenAlex ID
- A5009739727as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 16
A Hierarchical Machine Learning Model to Discover Gleason Grade-Specific Biomarkers in Prostate Cancer,
A Machine Learning Approach for Identifying Gene Biomarkers Guiding the Treatment of Breast Cancer,
A new clustering method using wavelet based probability density functions for identifying patterns in time-series data,
An Explainable Artificial Intelligence Model Proposed for the Prediction of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and the Identification of Distinctive Metabolites,
Classification of Breast Cancer Nottingham Prognostic Index Using High-Dimensional Embedding and Residual Neural Network,
Cost-sensitive classification on class-balanced ensembles for imbalanced non-coding RNA data,
Deep Learning Approach for Breast Cancer InClust 5 Prediction based on Multiomics Data Integration,
Explainable artificial intelligence model for identifying COVID-19 gene biomarkers
+8 more
← Authored by 16
A Hierarchical Machine Learning Model to Discover Gleason Grade-Specific Biomarkers in Prostate Cancer,
A Machine Learning Approach for Identifying Gene Biomarkers Guiding the Treatment of Breast Cancer,
A new clustering method using wavelet based probability density functions for identifying patterns in time-series data,
An Explainable Artificial Intelligence Model Proposed for the Prediction of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and the Identification of Distinctive Metabolites,
Classification of Breast Cancer Nottingham Prognostic Index Using High-Dimensional Embedding and Residual Neural Network,
Cost-sensitive classification on class-balanced ensembles for imbalanced non-coding RNA data,
Deep Learning Approach for Breast Cancer InClust 5 Prediction based on Multiomics Data Integration,
Explainable artificial intelligence model for identifying COVID-19 gene biomarkers
+8 more
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Summary
Abedalrhman Alkhateeb is a human[1].