To illustrate how experiments are performed with Stylus, and to further demonstrate the strength of the vector-world analogy, we will look at two simple examples.
Construct Sps6 which encodes nts 1 to 763 including both SP1 sites, showed 80-90% expression strength of the control vector.
Furthermore, we utilize the transformation of the vector strength R to the circular standard deviation as a measure of the concentration of the phase distribution.
> The patterns of the variables co-variation are shown by PCA, and eigenvectors represent the strength, indicated by the length of the vector, and direction of the trait correlation in relation to the first two principal components (PCs) (Fig. 6).
The strength of this mean vector was, however, weak (r = 0.08).
In every correlation circle, each measured variable is shown as a vector, which signals the combined strength of the relationships between the measured variable and two PCs (vector length) and whether these relationships are positive or negative (vector direction).
According to the length of the vector, indicating the strength of the relationship between the environmental variable and microbial community, all the six variables strongly linked to the microbial community.
The limit cycle frequency could either increase or decrease relative to the eigenvalue's predictions, depending on both the length of the limit cycle trajectory and on the speed or strength of vector field along that trajectory.
The length of the vector reflects the individual strength of activation/deactivation (weak, moderate, or strong; Figure 6), and the direction of the vector represents the activation properties of a mutant (right arrow = activator, left arrow = deactivation; Figure 6A and B).
The strength of this departure depends on the strength of the collinearity of the row and column vectors of the Z.
