The phrase "average of differences" is correct and usable in written English.
It can be used in contexts involving statistics or data analysis, where you are calculating the mean of a set of differences between values.
Example: "To find the average of differences between the two datasets, we first need to calculate the individual differences and then compute their mean."
Alternatives: "mean of differences" or "average difference".
For later gene-level analyses, significant SNP within the same contig were considered as a single significantly-differing transcript, with allelic bias estimated as an average of differences in read counts per SNP and positions showing inconsistent results (i.e. one position shows significant bias toward the H. annuus variant, while the other shows bias toward the H. petiolaris variant) flagged.
Open image in new window Fig. 6 Average of differences in percentage in X direction for AGNRs without H for all first atoms (i = 1) and their fitted curves Open image in new window Fig. 7 Peak to Peak percentage of ∆x for middle first atoms in Y direction (i = 1) for AGNRs without H vs dimer number.
The data were then normalised in dChip, and the expression value for each gene was determined by calculating the average of differences in intensity (perfect match intensity minus mismatch intensity) between its probe pairs.
In the microarray data analysis, significance was determined at p < 0.005, the expression value for each transcript was determined by calculating the average of differences in intensity (perfect match intensity minus mismatch intensity) between its probe pairs.
The expression value for each gene was determined by calculating the average of differences (perfect match intensity minus mismatch intensity) of the probe pairs in use for this gene.
Observed chromatographic results on the optimal condition mostly matched with the prediction and the average of difference between observed and predicted resolution were approximately 0.3.
monthly average of difference in efficiencies of solar photovoltaic module (before and after collection of dust) (percentage).
Correlation between the monthly average of thicknesses of dust collected on photovoltaic module and the monthly average of difference in efficiencies for a whole year (2010 to 2011).
The corresponding relation between the 'monthly average of thicknesses of dust collected and monthly average of difference in efficiencies' graph for the data are given in Figure 1.
Here, t and Δη are two variables; t is considered as an independent variable, and Δη is considered as an dependent variable (t = monthly average of thicknesses of dust collected) and (Δη = monthly average of difference in efficiencies).
e Average of difference in observed Tm and observed annealing temperature, indicative of the decrease away from the Tm needed to achieve optimal annealing conditions.
