Sentence examples for mean pairwise variation from inspiring English sources

A high mean pairwise variation is found for gene with low expression stability.

This is based on the mean pairwise variation between the gene and the other candidate genes across all samples.

This software calculates the mean pairwise variation (based on geometrical mean) for each gene and compares these values among these genes.

This application defines the most stable genes by calculating the mean pairwise variation between a particular gene and all the others used in one experiment and determines an M value.

geNorm calculates the average expression stability (M) value for each gene being analysed based on the mean pairwise variation in the expression of a gene from all other genes under investigation.

This can be more formally measured by the M values, a measure of the mean pairwise variation for a gene compared with all other tested control genes (higher number representing greater noise/variability).

The M value represents the arithmetic average of pairwise variation.

We calculated a normalization factor NF (geometric mean of expression values) for subsets n and n+1; a large pairwise variation (Vn/n+1) between NFn and NFn+1 values indicates a non-negligible improvement for the inclusion of an additional gene.

Taking advantage of the extensive statistics provided by such large simulations, I will discuss the mean pairwise momentum of clusters from the bulk velocity and the mass of simulated clusters, studying its variation as a function of the cluster mass and of the distance between pairs of objects and underscoring that the observability of the signal grows as the separation decreases.

Normalization factors per sample were calculated using the geometric mean of the most stable combination of these normalization assays, determined by the measure of their pairwise variation as calculated by geNorm[ 14].

However, simultaneous variation of the coevolution levels and size of MSAs or mean amino acid pairwise distance showed no effect on the amount of true positive values detected, with high coevolution levels compensating for variations in the MSA size (F4 = 0.186; P = 0.946) or mean pairwise amino acid distance (F8 = 0.880; P = 0.533).