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. 2009 Jun 20;65(Pt 7):679–689. doi: 10.1107/S0907444909012876

Figure 1.

Figure 1

Schematic representation of the statistical underpinnings of fitting coordinates into density data. Because the data carry measurement errors, many different data sets (Datan) can be realised. As a consequence, different correlation coefficients (CCn) arise if the score is calculated between the coordinates and the various density maps. Knowledge of this CC distribution would allow the calculation of its statistical properties, including a confidence interval (CI) for the CC.