The phrase "average transformation" is correct and usable in written English.
It can be used in contexts discussing changes or modifications that are typical or standard within a certain framework or dataset.
Example: "The average transformation of the data set indicates a consistent trend over the years."
Alternatives: "typical change" or "standard modification".
When acetamide utilization, uridine prototrophy, phleomycin resistance, or hygromycin resistance was used to select transformants in A. awamori, average transformation frequencies of 0.2, 40, 80, and 200 transformants per 106 conidiospores were obtained (Michielse et al. 2008).
Average transformation rates [i.e., (initial concentration)/ time to reach the detection limit)] were 1.3, 0.54, and 22 mg/L/d for CT, CFC-11, and CF, respectively.
On average, transformation efficiency (number of transgenic plants/number of root fragments) was 24.7% and 15.7% for TK and TB, respectively; about seven independent transgenic events were generated per starting plant for TK and four for TB.
We thus estimated the average transformation that aligns all the trajectories together as seen from a common reference point in the field of view.
Overall, testing six different vectors and two kinds of Agrobacterium strains, the average transformation frequency using the shifting method was 4.4%.
The average transformation is then the average of the estimates of the individual transformations that align P to R, computed from each of the trajectory pairs.
12 If data were found to be significantly correlated, we transformed the data using a moving-average transformation, in which the preceding and succeeding measurements were taken into account.
Fig. 2(b) and (c) present the averaged transformation and the spectrum estimation, respectively.
A first straightforward approach could be to create a template as in [23] where all images in a data set are registered to a reference and an average model is created by applying all the averaged transformations to the averaged deformed images.
The average headache transformation per subject was approximately two, varying from one to three.
The histogram is visually biased to positive values: on average, this transformation increases lipophilicity.
