Sentence examples for using the score distribution from inspiring English sources

We divided the parental distress variable into three categories using the score distribution tertiles.

In Table 3, the percentage of molecules with similarity scores above a lower limit tmin are given, estimated using the score distribution predicted by the ratio-of-Gaussians model with the fitted ChemDB parameters.

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.

Using the peptide score distribution from the MASCOT search results, ion score threshold of 35 (corresponding to P-value <0.05) was arrived and the identified peptides with ion scores of <35 were discarded.

When the median age for the cases in the first and second groups (56 and 61.5 years, respectively) and the ethnicity of these subjects (Caucasian) was considered, these scores corresponded to the 99th and 93rd centiles, respectively, as measured using the CAC score distribution from 6110 participants in the Multi-Ethnic Study of Atherosclerosis (MESA) [ 18].

MImerge and MIscore were used to calculate the score distribution across several molecular interaction databases (Table 3).

HMM scan was performed by switching off all the heuristic filters, collecting all the hits and calculating the score mean and standard deviation; after verification of the normality of the score distribution using Past [ 67] only those hits having a score greater than 3 standard deviation above the mean value were retained.

We have previously verified that for small evolutionary distances, this approach produces extremely accurate estimates of the score distribution calculated using real phylogenetic trees (Hawkins and Bailey, 2008).

First, item-level descriptive statistics were used to evaluate the score distributions [ 17].

To provide dimension and scale, we calibrated the score distribution making use of the 5795 annotated evaluation proteins in our dataset.

RNAsnp makes use of the efficient scanning variants of RNA folding algorithms provided by the Vienna RNA Package and uses precomputed tables describing the score distributions as a function of sequence length, G+C content, and SNP position, and distance or correlation measure.