Sentence examples for between their expression profiles from inspiring English sources
The relevance network contained an edge between two genes if the absolute Pearson correlation between their expression profiles is at least 0.85; all singleton nodes were deleted.
Furthermore, there was no association between their expression profiles and isoelectric points, or the numbers of acidic amino acids.
The expression divergence between duplicated genes was measured by 1- r, where r is the Pearson's correlation coefficient between their expression profiles [ 26].
This allowed us to examine the relationship between their expression profiles in the 20 normal tissues shared by the reported human and mouse data.
Only seven such probeset pairs were found and the mean correlation value between their expression profiles was 0.61 with a standard deviation of 0.13.
Two genes are connected by an edge if the correlation between their expression profiles is ranked above a certain threshold within both genes' rankings.
Tumors were assigned to one of the molecular subtypes based on the highest correlation coefficient between their expression profile and the five individual centroids of the molecular subtypes (that is, basal-like, ERBB2-like, normal breast-like, luminal A and luminal B).
For this, we modeled our expression network as an undirected graph, where a node represents a gene and an edge is drawn between two genes if their expression profiles are correlated beyond a Pearson correlation coefficient threshold.
We calculated the correlation (r) between each gene according to their expression profiles, and determined the co-expression links on the network if r was above the threshold value.
Their amplification efficiencies were approximately equal to that of the target genes; moreover, no statistically significant difference was observed in their expression profiles between healthy and pathological samples.
Eleven out of the 15 genes showed exact correlation in their expression profiles between RT-PCR and microarrays and very similar significance values in the statistical analyses.
