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Tracking Equilibrium and Nonequilibrium Shifts in Data with TREND
Principal component analysis (PCA) discovers patterns in multivariate data that include spectra, microscopy, and other biophysical measurements. Direct application of PCA to crowded spectra, images, and movies (without selecting peaks or features) was shown recently to identify their equilibrium or...
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| Publicado no: | Biophys J |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
The Biophysical Society
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5266145/ https://ncbi.nlm.nih.gov/pubmed/28122211 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.bpj.2016.12.018 |
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