Sentence examples for the data was calculated using from inspiring English sources

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

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).

All the data were calculated using the MOE 2014.09 package.

Confidence intervals in the data are calculated using bootstrapping for data and parametric bootstrapping for models.

Data submitted by panel banks into the bbalibor process is received and processed by Thomson Reuters and the data is calculated using guidelines provided by the FX&MM Committee.

Descriptive statistics of the data were calculated using Excel.

Then, the cells were immediately analyzed via flow cytometry, and the data were calculated using a FACSCalibur flow cytometer and CellQuest software (BD Biosciences).

Since the microarray platform only generates relative expression values, the correlation between the RNA-seq data and the microarray data was calculated using the log2 value of the ratio between A431 and U251, which in the RNA-seq case yields one value per Ensembl-gene.

The association between the biomarkers and the histology data was calculated using Spearman's rank correlation.

Pearson correlation of the microarray and the rtPCR data was calculated using SPSS Version 15.0 for Windows (SPSS Inc., Chicago, USA).

Statistical significance in the clinical data was calculated using the log rank test, χ-test, and Student's t-test.