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The step of NNC is give below: In the current population, a vector x(_{c}(G)) nearest to the considered trial vector is searched using the distance measure.
Frequent candidate aspects are used as core aspects by using the distance measure in Cilibrasi and Vitanyi (2007) to explore more aspects.
In the current population, a vector x(_{c}(G)) nearest to the considered trial vector is searched using the distance measure.
Hierarchical clustering was done using the distance measure and the smooth correlation measure for the samples and antigens, respectively (see GeneSpring for detailed description of these measures).
Each comparison involves a distance calculation using the distance measure specified by the user, where short distances correspond to more similar objects.
For comparison, we also performed clustering using the distance measure defined in Berninger et al. and the results revealed two subgroups with good separation.
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Finally, using the distance measured from the preceding steps, a dendrogram is constructed using the HC algorithm.
Therefore, to compare pairwise distances between the three lactobacilli of the acidophilus complex for different proteins, the distances were normalized using the distance measured between L. plantarum and L. sakei for the same protein.
For the clustering of different RpoD proteins (Figure S5) we used the distance measure [100 – the percentage of protein similarity].
To maintain the histidine ligands seen in the crystal structure, nickel−histidine distances were restrained with a strong force constant of 100 kcal mol−1 Å−2, using the distances measured in the crystal structure as a guide (17).
The distance of beta carbons, Cβ, for all residues (except for glycine where we used Cα) was used as the distance measure.
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