Cargando…
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...
| Autores principales: | , , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
American Society of Gene & Cell Therapy
2020
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7809249/ https://www.ncbi.nlm.nih.gov/pubmed/33511242 http://dx.doi.org/10.1016/j.omtm.2020.11.017 |