Sentence examples for mean expression divided from inspiring English sources
"Effect" is the standardized fold change for informative genes (difference in mean expression divided by standard deviation).
Figure 3 then shows Q-Q plot of the relative expressions (measured expressions divided by the mean of five samples) in the range of mean expressions from 117 to the maximum of 5432.
Effect sizes can be seen as the difference between a gene's mean expression levels at two conditions, divided by its pooled standard deviation.
The relative expression level of these young genes in each sample was calculated by dividing the mean expression value of the young genes in the sample by the mean expression value of the other genes in the sample.
Expression fold changes were obtained by dividing the mean expression level of a transcript in one strain by its mean expression level in another one for all the possible two by two strains combinations.
Gene expression fold changes were calculated by dividing the mean expression of one group (e.g. cancer samples) by the mean expression of the other group (e.g. nonmalignant samples).
Next, the patients were rank-ordered according to their mean expression values for each cluster and divided into halves or thirds.
In order to define genes that were differentially expressed in hibernating compared to summer active bears, we used P < 0.01 and log2FC > 0.5 where FC is fold change, the mean expression value in the hibernating bears divided by the mean expression value in the summer active bears, as the cutoff for differentially expressed genes (as described in Methods).
Expression data were normalised by subtracting the mean expression of each gene and then dividing by the s.d.
For both studies, expression of each transcript in each sample was divided by the geometric mean expression of the same transcript in the reference nonrunning groups in that experiment.
The obtained signal values were normalized by dividing them by the mean expression signal of an endogenous control gene, β-actin.
