A total of 19 side-chains were analyzed and statistically significant data were obtained for 145 of the 171 side-chain pairs.
The remaining variables that were analyzed were not statistically significant (data not shown).
The data of absorbance value and ELISA were expressed as mean ± S.E.M. SPSS 13.0 was used to analyze the data, significant differences were compared among groups by one-way analysis of variance (ANOVA), and P < 0.05 was considered statistically significant.
When between-subjects effects were significant, data were further analyzed by pairwise comparisons using Bonferroni confidence interval adjustment for multiple comparisons.
To determine whether the difference of the measures of inhibition zones was significant, data were statistically analyzed through Kruskall-Wallis nonparametric test, performed using SPSS for Windows v.17 (IBM Inc., Chicago, USA).
If a significant difference was detected (p ≤ 0.05) using ANOVA, the least significant difference test (LSD) was employed to analyze the data for significant differences between treatments within an experiment (p = 0.05).
While there is no reference to any specific program currently collecting purely domestic internet metadata in bulk, it is clear that the agency collects and analyzes significant amounts of data from US communications systems in the course of monitoring foreign targets.
The process of generating second generation sequencing data for two further strains was affordable but presented significant challenges to analyze the data.
Student's t-test was used to analyze the data with p<0.05 as significant criteria.
Xtriage was used to analyze the data sets and indicated significant twinning was present in both the Mn II) and 2-OG data.
Such regression-based approaches were not significant when used to analyze our data (not even for ERα itself), mainly due to the fact that TFs, including ERα, have both up- and down-regulated targets.
