Sentence examples for between experiments and control from inspiring English sources

Fold differences were calculated between experiments and control counts using the quantitative data obtained from the NanoString nCounter.

For each gene set, GAGE derives a global P-value based on a meta test on the negative log sum of multiple P-values for this set from all one-on-one comparisons between experiments and controls.

Asterisks denote statistically significant (p > 0.05) differences between experiment and control.

This spacing between experiment- and control unit allows for a high flexibility in the experiment design.

Pre and post-test results were compared by using t-test in SPSS packet program and it was determined that there was a meaningful difference between experiment and control groups' success (t42 = 2.052, p=.046 < .05) about fraction.

The fold change (FC) was set to >1.2, the p-value<0.05 (unpaired t-test), with a lower 90% confidence bound of FC, and the difference between experiment and control intensity value was set to be more than 30.

Differences between experiment and control polypropylene tube propofol concentrations were statistically significant (P = 0.0006).

1*: No significant difference (p > 0.05) between experiment and control; the value was therefore set to 1. a Comments are based on the given reference(s).

Author response: Beside filtering of the randomly variable probe sets in noisy data the most practical application is combination of the consecutive sampling analysis and coincidence testing applied to evaluation of the observed differences between experiment and control arrays.

The primer sequences used are included in Supplementary file 1. ddCt values were calculated between experiment and control embryos and converted to fold differences to be comparable to the NanoString data.

Relative risk (RR) was used for dichotomous data, and mean difference (MD) was used for continuous variables, both with 95% confidence interval (95% CI), P < 0.05 was considered statistically significant between experiment and control group.