However, additional statistical power is gained in the Uncertainty and Specificity statistics with increasing number of downstream gene expressions in a HYP, such that the weaker scores of larger HYPs can be just as significant and meaningful as higher scores from smaller HYPs.
The clustering algorithm required the weight of the scores to be reversed: we defined 3 as the strongest score and 1 as the weakest score so that weak scores were closest to non-interactions.
The strong and moderate (score 3 and 2, respectively) hormone receptor expression occurred mostly in sarcomas of uterus, pelvis and breast, while the weak (score 1) expression of both ER and PGR was surprisingly evenly distributed among location, gender and age.
While the characteristics that have the weakest scores were need of autonomy and risk-taking propensity.
At the other end of the spectrum, telecommunications, energy and diversified financial companies earned the weakest scores.
Secondly, the weak scores of private pre-registered students might not be surprising.
For the clustering, strong interactions were given a weight of 3 while the weakest interactions were given a weight of 1, such that the weak scores were closest to non-interactions, shown in black, and the strongest would be the brightest yellow.
The weaker sensitivity scores observed for GraBCas could be due to the utilization of position-specific scoring matrices (PSSMs) which are derived from a small, out-dated set of in vitro cleavage specificities and the absolute requirement of Asp residue at P1 on the cleavage sites.
As there are 3 possible outcomes for placing the weak ARS score relative to the selected ordered pair, a ratio of 1/3 is essentially random: the model is not able to resolve the more subtle differences between weak ARSs and functional/non-functional ones.
This is also true for weaker scores like the Gardland Werley and Sarmiento scores only obtaining four different items including movement, pain, arthritis, and deformity.
