I/σI vs {Rmerg, Rmeas, Rpim, CC1/2} for Crystal Diffraction Data Quality Evaluation
2024
Evaluating Crystal Diffraction Data Quality
publication
Author Information
Author(s): Fu Zheng-Qing, Geisbrecht Brian V., Bouyain Samuel, Dyda Fred, Chrzas John, Kandavelu Palani, Miller Darcie J., Wang Bi-Cheng
Primary Institution: Cold Spring Harbor Laboratory
Hypothesis
The study aims to identify the most reliable measures for evaluating data quality from different aspects.
Conclusion
The research clarifies confusion and misuses in data quality evaluation metrics for X-ray crystal diffraction.
Takeaway
This study looks at how to tell which X-ray data is the best by checking different quality measures.
Methodology
The study uses both theoretical analysis and experimental data to evaluate data quality measures.
Digital Object Identifier (DOI)
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