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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 n...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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International Union of Crystallography
2017
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5379934/ https://www.ncbi.nlm.nih.gov/pubmed/28375141 http://dx.doi.org/10.1107/S2059798317000699 |