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...
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| Principais autores: | , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2022-08-01
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| coleção: | Frontiers in Physiology |
| Assuntos: | |
| Acesso em linha: | https://www.frontiersin.org/articles/10.3389/fphys.2022.957484/full |
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