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Utilising machine learning techniques on simulated viral evolution datasets to improve viral recombinant identification
This thesis explores machine learning applications for enhancing viral recombination detection. Using SANTA-SIM-generated viral evolution data, multiple computational approaches were developed and evaluated against existing methods in the Recombination Detection Program (RDP5). The study trained and...
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| Format: | Thesis |
| Language: | English English |
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Computational Biology Division
2025
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