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Analyzing protein dynamics from fluorescence intensity traces using unsupervised deep learning network
We propose an unsupervised deep learning network to analyze the dynamics of membrane proteins from the fluorescence intensity traces. This system was trained in an unsupervised manner with the raw experimental time traces and synthesized ones, so neither predefined state number nor pre-labelling wer...
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| Publicado no: | Commun Biol |
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| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7665068/ https://ncbi.nlm.nih.gov/pubmed/33184459 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s42003-020-01389-z |
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