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On the relationship between cumulative correlation coefficients and the quality of crystallographic data sets
In 2012, Karplus and Diederichs demonstrated that the Pearson correlation coefficient CC(1/2) is a far better indicator of the quality and resolution of crystallographic data sets than more traditional measures like merging R‐factor or signal‐to‐noise ratio. More specifically, they proposed that CC(...
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| Publicado no: | Protein Sci |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
John Wiley and Sons Inc.
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5699489/ https://ncbi.nlm.nih.gov/pubmed/28960580 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/pro.3314 |
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