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Better models by discarding data?
In macromolecular X-ray crystallography, typical data sets have substantial multiplicity. This can be used to calculate the consistency of repeated measurements and thereby assess data quality. Recently, the properties of a correlation coefficient, CC(1/2), that can be used for this purpose were cha...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
International Union of Crystallography
2013
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3689524/ https://www.ncbi.nlm.nih.gov/pubmed/23793147 http://dx.doi.org/10.1107/S0907444913001121 |