Sentence examples for using the scoring function from inspiring English sources

A similarity matrix containing all pairwise comparisons was constructed and used to build neighbor-joining dendograms that cluster together viruses according to the similarity of their proposed lists of TFs (Figure 9B and figure 9C, using the scoring function based only on TFs or considering all genes, respectively).

Figures 7A and 7B show the expected negative and significant correlations between the number of proposed alterations, using the scoring function based only in TFs, and the overall impact of the viral infection measured as the Pearson's correlation (Figure 7A: r = −0.890, 6 d.f., P = 0.003) and as the MI (Figure 7B: r = −0.800, 6 d.f., P = 0.017).

The azaheterocycles that coordinate with the heme iron were identified using the scoring function (Eq. 1) and subjected to analysis of the nitrogen heme iron coordination.

The selection operation enables the individuals with higher fitness which is evaluated using the scoring function to be preserved with greater probability, so that the population converges to the global optimum at the fastest speed.

Using the scoring function (Eq. (9) of Methods), we address the question of interaction specificity for TCS proteins extracted from the genomic library.

For simplicity, fold recognition or template-based modeling by using the scoring function with 5 terms is called FR-t5, while the method that uses the scoring function consisting of the three terms, sequence profile, secondary structure, and hydrophobic score is denoted as FR-t3.

As in previous sections, the lists of TFs were build both using the scoring functions based on TFs and in all genes.

Each of the saved conformation was evaluated and ranked by using the scoring functions including LigScore1, LigScore2, PLP1, PLP2, Jain, PMF and Dock Score.

In the shape complementarity evaluation, the surface contact between proteins represented by the grid points is evaluated by using the score function of the contact surface area.

For each parameter, a formal test for outliers was performed using the "scores" function in R, with a probability of p = 0.99 used as a threshold.

Figure 1 illustrates the difference in the convergence of normalized innocent user scores to the standard normal distribution, when using the score functions g and h.