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Using interpretable machine learning to extend heterogeneous antibody-virus datasets
A central challenge in biology is to use existing measurements to predict the outcomes of future experiments. For the rapidly evolving influenza virus, variants examined in one study will often have little to no overlap with other studies, making it difficult to discern patterns or unify datasets. W...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10475791/ https://www.ncbi.nlm.nih.gov/pubmed/37671020 http://dx.doi.org/10.1016/j.crmeth.2023.100540 |