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Sebu Aboma Temesgen

Showing results (1-10 of 8) with videos related to

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Methods (San Diego, Calif.)|April 25, 2025
Exploring species taxonomic kingdom using information entropy and nucleotide compositional features of coding sequences based on machine learning methodsSebu Aboma Temesgen, Basharat Ahmad, Bakanina Kissanga Grace-Mercure, et al.
International Journal of Biological Macromolecules|August 14, 2025
tRNA is a molecular thermometer of species' optimal growth temperatureSebu Aboma Temesgen, Bakanina Kissanga Grace-Mercure, Basharat Ahmad, et al.
IET Systems Biology|September 23, 2024
iGATTLDA: Integrative graph attention and transformer-based model for predicting lncRNA-Disease associationsBiffon Manyura Momanyi, Sebu Aboma Temesgen, Tian-Yu Wang, et al.
Bioinformatics (Oxford, England)|April 5, 2026
HybridGNN: A Graph Neural Network Approach for Human miRNA-Disease Association PredictionBasharat Ahmad, Muhammad Hammad Musaddiq, Sebu Aboma Temesgen, et al.
Pharmaceuticals (Basel, Switzerland)|November 27, 2025
Unveiling the Therapeutic Mechanisms of Chinese Herbs in Heart Failure: Integrating Network Pharmacology, Molecular Docking, and Simulation AnalysisBasharat Ahmad, Cai-Yi Ma, Grace-Mercure Bakanina Kissanga, et al.
International Journal of Biological Macromolecules|July 27, 2024
A protein pre-trained model-based approach for the identification of the liquid-liquid phase separation (LLPS) proteinsZahoor Ahmed, Kiran Shahzadi, Sebu Aboma Temesgen, et al.
Current Drug Targets|January 5, 2026
RWRGDR: Random Walk and GraphSAGE-based Framework for Enhanced Drug RepositioningBiffon Manyura Momanyi, Sebu Aboma Temesgen, Bakanina Kissanga Grace-Mercure, et al.
Current Research in Structural Biology|January 8, 2024
SAGESDA: Multi-GraphSAGE networks for predicting SnoRNA-disease associationsBiffon Manyura Momanyi, Yu-Wei Zhou, Bakanina Kissanga Grace-Mercure, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Methods (San Diego, Calif.)|April 25, 2025
Exploring species taxonomic kingdom using information entropy and nucleotide compositional features of coding sequences based on machine learning methodsSebu Aboma Temesgen, Basharat Ahmad, Bakanina Kissanga Grace-Mercure, et al.
International Journal of Biological Macromolecules|August 14, 2025
tRNA is a molecular thermometer of species' optimal growth temperatureSebu Aboma Temesgen, Bakanina Kissanga Grace-Mercure, Basharat Ahmad, et al.
IET Systems Biology|September 23, 2024
iGATTLDA: Integrative graph attention and transformer-based model for predicting lncRNA-Disease associationsBiffon Manyura Momanyi, Sebu Aboma Temesgen, Tian-Yu Wang, et al.
Bioinformatics (Oxford, England)|April 5, 2026
HybridGNN: A Graph Neural Network Approach for Human miRNA-Disease Association PredictionBasharat Ahmad, Muhammad Hammad Musaddiq, Sebu Aboma Temesgen, et al.
Pharmaceuticals (Basel, Switzerland)|November 27, 2025
Unveiling the Therapeutic Mechanisms of Chinese Herbs in Heart Failure: Integrating Network Pharmacology, Molecular Docking, and Simulation AnalysisBasharat Ahmad, Cai-Yi Ma, Grace-Mercure Bakanina Kissanga, et al.
International Journal of Biological Macromolecules|July 27, 2024
A protein pre-trained model-based approach for the identification of the liquid-liquid phase separation (LLPS) proteinsZahoor Ahmed, Kiran Shahzadi, Sebu Aboma Temesgen, et al.
Current Drug Targets|January 5, 2026
RWRGDR: Random Walk and GraphSAGE-based Framework for Enhanced Drug RepositioningBiffon Manyura Momanyi, Sebu Aboma Temesgen, Bakanina Kissanga Grace-Mercure, et al.
Current Research in Structural Biology|January 8, 2024
SAGESDA: Multi-GraphSAGE networks for predicting SnoRNA-disease associationsBiffon Manyura Momanyi, Yu-Wei Zhou, Bakanina Kissanga Grace-Mercure, et al.
Pageof 1