Adversarial domain adaptation for cross data source macromolecule in situ structural classification in cellular electron cryo-tomograms

MOTIVATION: Since 2017, an increasing amount of attention has been paid to the supervised deep learning-based macromolecule in situ structural classification (i.e. subtomogram classification) in cellular electron cryo-tomography (CECT) due to the substantially higher scalability of deep learning. Ho...

Descripción completa

Detalles Bibliográficos
Autores principales: Lin, Ruogu, Zeng, Xiangrui, Kitani, Kris, Xu, Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Ismb/Eccb 2019 Conference Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6612867/
https://www.ncbi.nlm.nih.gov/pubmed/31510673
http://dx.doi.org/10.1093/bioinformatics/btz364

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6612867/
https://www.ncbi.nlm.nih.gov/pubmed/31510673
http://dx.doi.org/10.1093/bioinformatics/btz364

Ejemplares similares