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Self-supervised learning for macromolecular structure classification based on cryo-electron tomograms
Macromolecular structure classification from cryo-electron tomography (cryo-ET) data is important for understanding macro-molecular dynamics. It has a wide range of applications and is essential in enhancing our knowledge of the sub-cellular environment. However, a major limitation has been insuffic...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9468634/ https://www.ncbi.nlm.nih.gov/pubmed/36111160 http://dx.doi.org/10.3389/fphys.2022.957484 |