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The sensitivity derived from linear fits of the data was calculated to be approximately 2 Torr-1, which is smaller than that of the commercial Bayard-Alpert gauge (BAG) in the range of 8 to 45 Torr-1.
The level of error in the data was calculated using the following formula (Appelo and Postma 1996): {text{Error}};{text{of}};{text{ion}};{text{balance}} = frac{{sum {{text{cations}} - sum {text{anions}} } }}{{sum {{text{cations}} + sum {text{anions}} } }} times 100 (100
The error level in the data was calculated by the following method (Appelo and Postma 1996): {text{Error of ion balance}} = frac{{mathop sum nolimits {text{cations}} - mathop sum nolimits {text{anions}}}}{{mathop sum nolimits {text{cations}} + mathop sum nolimits {text{anions}}}} times 100.
For both groups, the percentile distribution of the data was calculated and the quartile ranges are shown (Table 2).
The data was calculated as percentage of EBNA1 binding activity and then plotted versus the log of the concentration of inhibitor.
Next, the p-value for observing such an overlap by chance given the data was calculated using 1,000 permutations generated by randomly resampling the same number of genes as were differentially expressed in the two data sets and determining the size of the overlap (Table S4).
Similar(38)
All the data were calculated using the MOE 2014.09 package.
The 5th and 95th percentile values of the data were calculated.
Confidence intervals in the data are calculated using bootstrapping for data and parametric bootstrapping for models.
All of the data were calculated based on the results from at least three experiments.
The data is calculated with vertical hydrometeor profiles as well as available mean surface rainfall.
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