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Using a significance threshold level, Bonferroni corrected to, we get in Table 4 significant differences between the sample groups.
Using significance threshold level, Bonferroni corrected to, we get in Table 7 significant differences between the sample groups.
It then discards the genes that do not sufficiently discriminate between the sample groups according to the minimum description length principle.
Significant differences between the sample groups (VIP>0.9, Variable importance in OPLS-DA model or P<0.05, Mann Whitney U-test) were found for 58.5% (71 of 123) of the putative metabolites (Figure 2a, Table S1).
The first analysis is better at revealing differences in gene expression between the sample groups, while the second aims to find specific groups of genes which have lost their normal pattern of co-expression and are affected by MS irrespective of disease subtype.
Such impressions were strengthened by calculating the transcriptome distances between the sample groups.
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There were no statistically significant differences in age, sex, or healthcare costs between the sample group and all the enrollees.
There were no significant differences in age, sex, or healthcare costs between the sample group and all enrollees.
According to the Taiwan National Health Research Institute, there were no statistically significant differences in age, gender, or health care costs between the sample group and all beneficiaries under the NHI program.
There were no statistically significant differences in age, gender, and healthcare costs between the sample group and all enrollees, as reported by the NHRI.
There are no statistically significant differences in age, gender, and health-care costs between the sample group and all enrollees according to the NHRI.
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