Sentence examples for by computing distances between from inspiring English sources
The five knowledge tests used a Likert format to assess knowledge in verbal and practical domains, and were scored by computing distances between examinee and reference ratings.
To compute the p value, we generated a random distance distribution for each of the 4613 targets in each of the ten fingerprint spaces by computing distances between the ChEMBL compounds associated with the target and randomly selected molecules from the ZINC database [52], taken as representative molecules of screening compounds for which target predictions might be carried out (Fig. 1h).
Observed values were calculated by computing distances between all functionally related genes in a genome in a pair wise manner and then allocating them to their respective distance categories.
All complete alleles were added to every set, followed by computing distance matrices between set members' concatenated exon sequences.
We take (1mbox088) different genomic sequences and compute distances between them by using the Hamming distance.
The average distance estimates were then weighted with the squared average LOD scores and fed into a linear equation system that computed distances between adjacent bins by minimizing the overall deviation between empirical and computed average distance estimates [ 23, 24, 40].
By computing the distances between each pair of 889 patterns (the distance matrix) with PHYLIP's neighbor program [ 22], we were able to group alleles using the publicly available NJPlot software package [ 23] based on the distances between patterns observed on the microarray.
A minimum planar graph was built by computing spatial distances between all pairs of neighbouring patches.
Next, pairwise similarities for the molecular structures have been assessed by computing the distances between the corresponding binary fingerprints.
The percentage of changes is achieved by computing the distances between two states and the centroid of the classes.
The KNN algorithm identifies the K-nearest genetic neighbours by computing Euclidean distances between samples.
