Sentence examples for mean methylation difference from inspiring English sources

Exact(13)

In the case of BOP analysis, BOPs can be ranked on the basis of a user-defined minimum mean methylation difference between adjacent CpG probes.

Next, we focused on the differentially methylated CpGs with the largest mean methylation difference between fusion-negative and fusion-positive PCa (≥25%%).

The relationship between the mean methylation difference and the log2 fold change for those 162 genes is shown in Figure 4A (Pearson correlation coefficient = −0.75 with 95% confidence interval: −0.81 to −0.68 and regression p-value<2.2e-16 p-value<2.2e-16 p-value<2.2e-16

Of the 27K significant CpG sites, 3103 had a mean methylation difference of at least 10%% between T2E subtypes (Additional file 1).

A total of 18 256/12 339 CpG sites showed statistical significance with adjusted P-values <0.05/0.01 and ⩾0.12 mean methylation difference between BPH and PCa.

Many of the DMRs (41%) show little variability in DNA methylation within the population – we define these as very low range DMRs (less than 0.2 mean methylation difference across all strains) and low range (between 0.2 and 0.4 mean methylation difference across all strains).

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Similar(47)

The authors [ 82] found no differences in DNA methylation of the five MZ twin pairs for rheumatoid arthritis and dermatomyositis, but they found a set of 49 genes differentially methylated in SLE discordant twins with absolute mean methylation differences >0.1.

The 24 CpGs were similarly differentially methylated by T2E status in TCGA (P values ≤5.44E−37); mean methylation differences between patient groups for these CpGs ranged from 24 to 49%% (mean = 36%%).

Age group (young or old) was added to the models as a random effect to test for differences in variation or discordance and as an extra fixed effect, replacing age, to estimate adjusted group mean methylation or mean within-pair difference and its SD [using the standard error (SE) of the mean] and test for group differences.

Quantile regression suggested shifts in methylation distributions associated with air pollution exposure that were not captured by corresponding least-square estimates of the difference in (or ratio of) mean methylation associated with exposure.

β-values range from 0 (unmethylated) to 1 (100 % methylated) and were used to identify the mean percentage methylation difference between fusion-positive and fusion-negative PCa.

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