Sentence examples for between experimental groups of from inspiring English sources

Our experiment in minipigs was designed to compare responses to sepsis between experimental groups of septic minipigs with and without immunosuppression.

Statistical analysis between experimental groups of animals that were sacrificed 7 days after the last training session resulted in the absence of differences among means of these groups [F (4, 25, 0.4596, p = 0,9418] (Figure 2F).

The comparison of the 2 methods revealed that microarrays data tend to minimize the differences between experimental groups of samples.

The difference between experimental groups of equal variance was analyzed by using Student's t-test with P<0.05 being considered significant.

Importantly, the following criteria were applied to assign a skeletal muscle-associated protein as properly identified: (i) an ANOVA score between experimental groups of ≤0.05; (ii) proteins with ≥2 peptides matched; and (iii) a MASCOT score >40 [ 55, 56].

Importantly, the following criteria were applied to assign a serum associated proteins as properly identified: (i) an ANOVA score between experimental groups of ≤0.05, (ii) proteins with ≥2 peptides matched and (iii) a MASCOT score >40.

The expression of three candidate reference genes (18s, g3p and rps18) was quantified in the same conditions and no statistically significant differences were found between experimental groups for any of them.

Our approach to analysis of microarray data is to try to maximize sensitivity for detection of differences between experimental groups, and accuracy of estimation of absolute methylation fraction is, if anything, secondary.

The advent of precision medicine represents a methodological paradigm shift from traditional detection of differences between experimental groups towards identification of individual events or outliers (for example, individual expression patterns and patient-specific siRNA/drug sensitivities).

In this way, not only were sleep/wake times and testing times paralleled between experimental groups, but times of learning and retrieval were also the same within subjects.

Since most statistical methods for expression analysis are focused on differences between experimental groups, the performance of approaches for patient-specific expression analyses are currently less well characterized.