On the relationship between cumulative correlation coefficients and the quality of crystallographic data sets
Abstract
In 2012, Karplus and Diederichs demonstrated that the Pearson correlation coefficient CC1/2 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 CC1/2 be computed for data sets in thin shells of increasing resolution so that the resolution dependence of that quantity can be examined. Recently,...
Paper Details
Title
On the relationship between cumulative correlation coefficients and the quality of crystallographic data sets
Published Date
Oct 27, 2017
Journal
Volume
26
Issue
12
Pages
2410 - 2416
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Notes
History