Evaluating Crystal Diffraction Data Quality
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 investigates the effectiveness and reliability of various measures for evaluating the quality of X-ray crystal diffraction data.
Conclusion
The research identifies the most reliable measures for evaluating data quality, clarifying confusion and misuses in the process.
Takeaway
This study looks at how to tell if the data from X-ray experiments is good or not, helping scientists choose the best data to use.
Methodology
The study uses both theoretical analysis and experimental data to evaluate the effectiveness of various data quality measures.
Digital Object Identifier (DOI)
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