Spss version 12.0 for windows xp

All data are presented as mean ± standard error. Once the chips met the quality control criteria, they were evaluated using Partek (Partek, St. Louis, MO, USA), which is commercial software specifically designed to analyze microarray data. For setting up the correlation of transcription (HTA2.0) and methylation (M450K) microarray, we performed 10,000 re-samplings for each genes to extract pairs of gene intensity and CpG marker β values in each group. Therefore, we collected 40,000 pairs of gene intensity and CpG marker β values from the four groups [12 (link)]. We adopted one-way ANOVA or Student’s t-test, as appropriate, to evaluate the quantitative data and paired sample t-test to evaluate any data changes before and after IVIG treatment. We carried out all statistical analyses with SPSS version 12.0 for Windows XP (SPSS, Inc., Chicago, IL, USA), and a two-sided p-value less than 0.05 was considered statistically significant.

All data are presented as mean ± standard error. Upon passing the quality control criteria, we evaluated the chips using Partek (Partek, St. Louis), a commercial software specifically designed to analyze microarray data (NCBI GEO: GSE109351). Statistical tests between multiple datasets were analyzed using a one-way analysis of variance (ANOVA) followed by post hoc least significant difference (LSD) test or Student's t-test as appropriate (3 (link)). The receiver operating characteristics curve method using the biological parameters with significance of area under the curve (auROC) was adopted to differentiate between the groups. Correlations between quantitative variables were then assessed using Pearson's coefficient. We carried out all statistical analyses with SPSS version 12.0 for Windows XP (SPSS, Inc., Chicago, USA), and a two-sided p < 0.05 was considered statistically significant.

The data was recorded as mean standard deviations and analyzed by SPSS (version 12.0 for Windows XP, SPSS Inc, Chicago, IL, USA). One- and two-way analysis of variance (ANOVA) and Duncan’s multiple comparisons were carried out to test for any significant differences between the means; the mean values of antioxidant activity between two extracts or two treatments were analyzed by an independent samples t-test. Correlations were obtained by Pearson correlation coefficient in bivariate correlations. Differences between means at 5% (p < 0.05) level were considered significant. ChemDraw Ultra 8.0 software (PerkinElmer, Waltham, MA, USA) was used for drawing the chemical structures of compounds.