Sentence examples for between two expression profiles from inspiring English sources
The most popular metric for gene expression data is undoubtedly the Pearson's correlation coefficient, which measures the extent of the linear dependence between two expression profiles regardless of differences in absolute expression levels.
Each of these coefficients represents the resemblance between two expression profiles.
A natural measure of expression-similarity between a pair of orthologous genes is the correlation between two expression profiles consisting of a set of 'analogous' samples.
The Euclidean distance (dE) between two expression profiles is defined as (2) with notations as for Equation (1).
More specifically the similarity between two expression profiles is equivalently defined as the dot product of the corresponding high-dimensional vector representations.
In most cases, the correlation between gene expression levels quantified by the array and by QPCR is strong, as evaluated by the correlation between two expression profiles (Pearson's correlation coefficient) and the linear correlation R of each probe/gene pair.
A more focused comparison between the two expression profiles is needed to further define similarities and differences between the two chemicals.
Analysis of several miRNA primary transcripts and their mature counterparts in a teratocarcinoma cell line and in mouse embryogenesis shows a discrepancy between the two expression profiles, indicating that many miRNAs are subject to post-transcriptional regulation [ 78].
The mass distance is defined as the total volume of profiles bounded between the two expression profiles X i and X j and is estimated by the product over all coordinates k. (19) where n is the length of the expression profiles.
Q-PCR was conducted in order to validate representative microarray results and examine the correlation between the two expression profiling platforms.
There was a good correlation between the results obtained with the two expression profiling approaches.
