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Transcript cluster expression was summarized by using a robust multiarray average method (RMA) with a core set of well annotated exons using the ArrayAssist software (Agilent).
Data was summarized by using the descriptive statistics of mean, standard deviation, range and percentages.
If notable heterogeneity was observed, the diagnostic performance was summarized by using a random-effects coefficient binary regression model [ 41].
The exact age of the twins at the time of completion of the dietary diary was summarized by using medians (IQRs).
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For each year and watershed, landscape heterogeneity and a set of class-level metrics (i.e. percentage of the landscape, area-weighted mean patch size, patch density, area-weighted mean shape index, edge density, and aggregation index) were also measured at different scales using random sampling techniques, and the results were summarized by using scalograms.
The results were summarized by using frequency table and graph.
Quantitative data were summarized by using medians (with quartiles).
Data from all patients were summarized by using descriptive statistics.
Continuous variables were summarized by using means and standard deviations, whereas categoric variables were summarized by using counts and percentages.
Maximum clade credibility (MCC) trees were summarized by using TreeAnnotator and visualized by using FigTree (12 ).
The growth factors and angiopoietins determined were summarized by using geometric means and interquartile ranges (IQRs).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com