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The Kolmogorov-Smirnov test and an analysis of variance (ANOVA) test with the Bonferroni correction were used to investigate significant differences between different sample groups.
To analyze the differences in focal adhesion number between different sample groups, images were collected and processed.
Pearson's chi-square test was used to compare the clone numbers of different taxa between different sample groups (NmA: normal antrum, NmB: normal body, AGA: antral gastritis antrum, AGB: antral gastritis body) from the 16S rRNA sequencing result, when the clone number for each sample group was at least 10.
Expression of PinX1 was normalized by using GADPH as internal control; 2−ΔΔCt values were calculated to analyze the fold changes between different sample groups.
The χ2 test was utilized to compare acute skin toxicity between different sample groups, and to analyze associations between acute toxicity, dosimetric parameters and clinical characteristics.
As expected, the correlation of average probe methylation values between different sample groups is consistent with that observed in the cluster analysis.
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The second major marker group included most genes and did not show remarkable difference between the different sample groups (Fig. 3b).
The clone-by-clone comparison of the DCNAs between the cell lines and the tumor tissues provided detailed information concerning the difference in DCNAs between two different sample groups.
Relative gene expression between the different sample groups was statistically analyzed in Excel, using a two-sided Student's T-test assunequalnequal variance.
Immunofluorescence microscopy was performed on the pSEAP2-Control transfected cells to ensure that the transfection efficiency was constant between the different sample groups.
As expected, probe sets with low expression level (low signal) were less reproducible in comparisons between the different sample groups, as were probe sets with very low fold-changes.
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