Applying machine learning to predict viral assembly for adeno-associated virus capsid libraries
Machine learning (ML) can aid in novel discoveries in the field of viral gene therapy. Specifically, big data gathered through next-generation sequencing (NGS) of complex capsid libraries is an especially prominent source of lost potential in data analysis and prediction. Furthermore, adeno-associat...
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| Glavni autori: | , , , , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Elsevier
2021-03-01
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| Serija: | Molecular Therapy: Methods & Clinical Development |
| Teme: | |
| Online pristup: | http://www.sciencedirect.com/science/article/pii/S2329050120302448 |
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