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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...
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| 主要な著者: | , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
International Union of Crystallography
2013
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3689524/ https://ncbi.nlm.nih.gov/pubmed/23793147 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1107/S0907444913001121 |
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