In contrast to tissue subcultured from wild-type and mutant lines, the positive and negative control transformations produced multiple colonies, each representing an independent stably transformed line, that could be directly and quantitatively compared to colonies derived from test transformations.
In addition to the natural variability of geomaterials, testing, transformation and modelling errors must also be considered to accurately characterize rockmass behaviour.
The results suggest that t-test transformation of tree-ignorant metrics can be sufficient to control for patterns arising from shared ancestry.
The statistical significance of coevolution metrics between alignment columns separated by a specified distance was determined using the t-test transformation.
We have argued, and our results demonstrate, the t-test transformation provides sufficient control for the shared ancestry cause of associations.
Using a novel t-test transformation of coevolution metrics, we systematically compared four tree-aware and five tree-ignorant coevolution algorithms, applying them to myoglobin and myosin.
Although the coevolutionary scores are not directly comparable between the methods, the t-test transformation standardizes the metrics, allowing evaluation of the relative performance of each method.
Nevertheless, the results are still comparable using existing and tested transformation scores.
In general, a significant priming was observed for almost all tested transformations, often with a magnitude that was comparable to that produced by the prototypes' default views (compare the black bar with the other bars in Fig. 8C).
Pretests were a visual open-loop test without transformation, an explicit test, a test of proprioceptive shift, and a test of visual shift in this order.
