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Sentence examples for mean expression scores from inspiring English sources

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Following analysis, we observed that the mean expression scores of SOX2 were 117.6 ± 2.8 (n = 43), 205.9 ± 10.7, and 40.2 ± 5.9 in OSCC, oral epithelial dysplasia, and normal mucosa, respectively.

The mean expression scores of ALDH1 were 78.4 ± 1.9, 69.1 ± 6.4, and 41.6 ± 3.1 in OSCC, oral epithelial dysplasia, and normal mucosa, respectively; furthermore, a significant difference between ALDH1 staining in OSCC and normal oral mucosa was observed (P < 0.01).

The mean expression scores of CD44 were 268.4 ± 13.5, 240.8 ± 20.4, and 191.6 ± 18.3 in OSCC, oral epithelial dysplasia, and normal mucosa, respectively; CD44 staining too demonstrated a significant difference between the OSCC and normal oral mucosa (P < 0.001).

Probe sets with a > 1.5-fold differential expression (two-tailed Student's t-test P < 0.01 subjected to Benjamini and Hochberg correction for multiple comparisons, and > 20 unit difference in the geometric mean expression scores) in a comparison of interest are reported.

Furthermore, the expression of CD163 in OSCC was mainly observed in the cytoplasm and the mean expression scores were 18.33 ± 1.29, 5.14 ± 0.52, and 4.80 ± 0.53 in OSCC, oral epithelial dysplasia, and normal oral mucosa, respectively; however, the difference between CD163 staining in the tumor and normal oral mucosa was not significant (P > 0.05, Figure 1(b)).

Similar(55)

The mean expression score of S was then computed in the observed and permuted expression profiles.

An empirical P value was produced by computing the proportion of permuted expression profiles in which the mean expression score was greater than the mean expression score in the observed profile.

Contrarily, the term 'overexpression' will be used to characterize deviations between the mean expression score averaged over the set-members in a list compared with the mean score of all list members independent of their overrepresentation.

The difference score becomes Δ S list | N list = N = 2 S + list · N set − S list · N where S + list = S list + / N set is the mean expression score averaged over all members of the gene set.

The mean expression score of CD68 in normal oral mucosa was 4.99 ± 0.38, and its expression was significantly different as compared with that in oral epithelial dysplasia (5.62 ± 1.86) and OSCC (17.59 ± 1.91).

Given the expression profile of a gene, the Grubbs' test G can be calculated as G = m a x (w t − w ¯ ) s t d, where, s t d = 1 n − 1 ∑ t = 1 n (w t − w ¯ ) 2, w ¯ = ∑ t = 1 n w t n, w t is the expression score for tissue t, std is the standard deviation for the expression profile, and w ¯ is the mean expression score.

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