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Positive-unlabeled convolutional neural networks for particle picking in cryo-electron micrographs
Cryo-electron microscopy is a popular method for protein structure determination. Identifying a sufficient number of particles for analysis can take months of manual effort. Current computational approaches find many false positives and require significant ad hoc post-processing, especially for unus...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6858545/ https://www.ncbi.nlm.nih.gov/pubmed/31591578 http://dx.doi.org/10.1038/s41592-019-0575-8 |