Dissecting random and systematic differences between noisy composite data sets
نویسندگان
چکیده
منابع مشابه
Dissecting random and systematic differences between noisy composite data sets
Composite data sets measured on different objects are usually affected by random errors, but may also be influenced by systematic (genuine) differences in the objects themselves, or the experimental conditions. If the individual measurements forming each data set are quantitative and approximately normally distributed, a correlation coefficient is often used to compare data sets. However, the r...
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ژورنال
عنوان ژورنال: Acta Crystallographica Section D Structural Biology
سال: 2017
ISSN: 2059-7983
DOI: 10.1107/s2059798317000699