Sentence examples for score of interaction from inspiring English sources

For DRABAL, however, we handle missing labels differently using active learning which helps in quantifying a probability score of interaction for each missing case instead of assuming it negative.

Thus, when running CC method, missing labels are not assumed negatives as in CC-MLE, but rather, a probability score of interaction is assigned the same way DRABAL does.

It should be noted that this step is taken only for CC, but in our method we handle missing labels differently using active learning, which helps in quantifying a probability score of interaction for each missing case instead of assuming it to be negative.

The last two columns represent density and average semantic similarity score of interaction network.

Hence, our formula for the link score of interaction links can be connected directly to the law of mass action.

It is not surprising that the first feature is "F1" (Supplementary Material III), which is the confidence score of interaction between two drugs.

InterDom domain interactions (with a confidence score of interactions ≥10) were used for calculating the Ci in NetworkAnalyzer [ 50].

Interacting partner domains for each parent domain (domains contained in the positional candidates) were determined using InterDom database with a confidence score of interactions ≥10 [ 41].

The GRAMM methodology is specially suited to dock protein models because it averages over possible errors in the conformation that are unquestionably larger than in the case of crystallographic structures [ 55, 63, 64]. Figure 1 shows the four highest scores of interaction for each of the relevant genes.

More recently, we implemented Significance Analysis of INTeractome (SAINT) within ProHits to provide scoring of interactions based on spectral counts.

Here, we provide an update to ProHits to support Data Independent Acquisition (DIA) with identification software (DIA-Umpire and MSPLIT-DIA), quantification tools (through DIA-Umpire, or externally via targeted extraction), and assessment of quantitative enrichment (through mapDIA) and scoring of interactions (through SAINT-intensity).