Sentence examples for determine and statistics from inspiring English sources

Since evaluation of nuclear positivity can be difficult to determine and statistics were compromised due to the small sample size and the fact that one variable was nominally scaled, we hitherto decided to correlate RELA expression levels with NF- κB target gene expression.

The first and second objectives were analysed using descriptive statistics to determine and analyse the distribution of the Cd, As and urinary NAG levels as well as the genotoxicity impairment of the respondents.

In order to determine performance statistics and score cutoffs for classification, the training sets are scored with the model, and sensitivity and specificity are estimated through k-fold cross-validation.

ANOVA with a Tukey's HSD post-hoc test was used to determine overall statistics, and results of the comparison to WT from the post-hoc test are shown in the table n.d.

ANOVA with a Tukey's HSD post-hoc test was used to determine overall statistics, and results of the comparison to WT from the Tukey's HSD post-hoc test are shown in the table.

ANOVA with a Tukey's HSD post-hoc test was used to determine overall statistics, and results of the comparison to WT from the post-hoc test are shown in the table * P < 0.05; ** P < 0.01 All of the Arabidopsis samples were observed to swell during IL pretreatment at 140 °C for 3 h (see Additional files 1, 2, 3, and 4: Movies 1 4).

ANOVA with a Tukey's HSD post-hoc test was used to determine overall statistics, and results of the comparison to WT from the post-hoc test are shown in the table * P < 0.05; ** P < 0.01 The recovered solids from the Arabidopsis lines after [C2C1im][OAc] pretreatment were then saccharified using a commercial cellulase (CTec2) and hemicellulase (HTec2) enzyme mixture [ 10].

ANOVA with a Tukey's HSD post-hoc test was used to determine overall statistics, and results of the comparison to WT from the post-hoc test are shown in the table * P < 0.05; ** P < 0.01 The recovered solids from the different Arabidopsis lines after [C2C1im][OAc] pretreatment at 70 °C for 5 h were then saccharified.

For quantitative variables, medians, ranges, and proportions were determined and analyzed by descriptive statistics and frequency analysis.

A probabilistic fatigue analysis was applied using Monte Carlo sampling to determine the statistics (mean and standard deviation) of the fatigue life prediction and was compared to fretting fatigue test data.

In order to analyse protein evolution and test for positive selection in cystatins, the maximum likelihoods of different substitution models were determined and compared using chi-squared statistics.