A deep learning-based approach to model anomalous diffusion of membrane proteins: the case of the nicotinic acetylcholine receptor
Abstract: We present a concatenated deep-learning multiple neural network system for the analysis of single-molecule trajectories. We apply this machine learning-based analysis to characterize the translational diffusion of the nicotinic acetylcholine receptor at the plasma membrane, experimentally...
| Autores principales: | , |
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| Formato: | Artículo (Article) |
| Idioma: | Inglés (English) |
| Publicado: |
Oxford University Press
2022
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| Materias: | |
| Acceso en línea: | https://repositorio.uca.edu.ar/handle/123456789/14114 |