Cargando…
Few-shot learning for classification of novel macromolecular structures in cryo-electron tomograms
Cryo-electron tomography (cryo-ET) provides 3D visualization of subcellular components in the near-native state and at sub-molecular resolutions in single cells, demonstrating an increasingly important role in structural biology in situ. However, systematic recognition and recovery of macromolecular...
Autores principales: | Li, Ran, Yu, Liangyong, Zhou, Bo, Zeng, Xiangrui, Wang, Zhenyu, Yang, Xiaoyan, Zhang, Jing, Gao, Xin, Jiang, Rui, Xu, Min |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7682871/ https://www.ncbi.nlm.nih.gov/pubmed/33175839 http://dx.doi.org/10.1371/journal.pcbi.1008227 |
Ejemplares similares
-
Self-supervised learning for macromolecular structure classification based on cryo-electron tomograms
por: Gupta, Tarun, et al.
Publicado: (2022) -
Template-free detection of macromolecular complexes in cryo electron tomograms
por: Xu, Min, et al.
Publicado: (2011) -
FSCC: Few-Shot Learning for Macromolecule Classification Based on Contrastive Learning and Distribution Calibration in Cryo-Electron Tomography
por: Gao, Shan, et al.
Publicado: (2022) -
Adversarial domain adaptation for cross data source macromolecule in situ structural classification in cellular electron cryo-tomograms
por: Lin, Ruogu, et al.
Publicado: (2019) -
One-Shot Learning With Attention-Guided Segmentation in Cryo-Electron Tomography
por: Zhou, Bo, et al.
Publicado: (2021)