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Application of Singular Value Decomposition to the Analysis of Time-Resolved Macromolecular X-Ray Data
Singular value decomposition (SVD) is a technique commonly used in the analysis of spectroscopic data that both acts as a noise filter and reduces the dimensionality of subsequent least-squares fits. To establish the applicability of SVD to crystallographic data, we applied SVD to calculated differe...
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| Autors principals: | , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Biophysical Society
2003
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC1302779/ https://ncbi.nlm.nih.gov/pubmed/12609912 |
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