Sentence examples for interaction of the score from inspiring English sources

GlobalAncova is used to explore the effect on gene expression in specific functional groups from the interaction of the score and selected mutations in the patient's genome.

As the proteins (nodes) and interactions (edges) in the PIN came from different model organisms with various genetic relationships with E. sinensis, in order to represent the confidence of the interaction pairs, the score of each protein-protein interaction pair was evaluated according to the method described in the Methods section.

Further exploratory analyses included testing for proportional hazards, evaluating predictive value in years 0 4, 5 9 and 10+ separately, and testing for interactions of the CCP score with individual clinical covariates.

Exploratory analyses included adding a quadratic term for the CCP score to further evaluate the shape of the dose-response curve for predicting death from prostate cancer, testing for proportional hazards, evaluating predictive value in years 0 5 and 5+ separately, and testing for interactions of the CCP score with individual covariates.

A repeated measures analysis of variance (RM-ANOVA) was conducted to evaluate the interaction between the score in dimensions of mini-CEX (within-subjects factor) and level of training (between-subjects factor).

Each regression model included the interaction of questionnaire score with gender and age in order to examine the potential moderator effect of these two variables.

Figure 4 shows the number of interactions and the score for the genes under study.

For items with two response categories, binary logistic regression can be used to relate the probability of positive response (p) to the grouping variable (g), the total scale score (representing ability level/level of quality of life) and the interaction of the group and scale score (the product of g and θ).

Since ChEMBL provides the predicted interactions (not approved yet), we only selected the most confident interactions with the score of 1 under the cut-off of 1  μM [ 5].

As discussed in the Conclusions, we plan to adapt the method to deal with weighted interactions, e.g., the score of a predicted binding or the confidence of a certain experimental technique.

Finally, we tested the interaction of erosion SvH score and anti-Sa, the two major initial predictors of severe arthritis on the development of joint damage (Fig. 1).