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Error-based Extraction of States and Energy Landscapes from Experimental Single-Molecule Time-Series
Characterization of states, the essential components of the underlying energy landscapes, is one of the most intriguing subjects in single-molecule (SM) experiments due to the existence of noise inherent to the measurements. Here we present a method to extract the underlying state sequences from exp...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group
2015
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4361849/ https://www.ncbi.nlm.nih.gov/pubmed/25779909 http://dx.doi.org/10.1038/srep09174 |