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Machine learning for cluster analysis of localization microscopy data
Quantifying the extent to which points are clustered in single-molecule localization microscopy data is vital to understanding the spatial relationships between molecules in the underlying sample. Many existing computational approaches are limited in their ability to process large-scale data sets, t...
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| Publicado no: | Nat Commun |
|---|---|
| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7083906/ https://ncbi.nlm.nih.gov/pubmed/32198352 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-020-15293-x |
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