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For about two decades, knowledge-based potentials based on pairwise distances – so-called "potentials of mean force" (PMFs) – have been center stage in the prediction and design of protein structure and the simulation of protein folding.
Brugger et al. [35] uses a recursive flooding of a Gaussian surface based on pairwise distances and receptive field sizes of SOM prototypes, resulting in partitionings similar to that of k-means clustering.
Individual level sample clustering was defined first by constructing a neighbor joining tree based on pairwise distances between multilocus genotypes.
Polanski et al. proposed an approach based on pairwise distances [ 16], hence generalizing the method by Slatkin and Hudson [ 6].
The clustering analysis was performed with a neighbour-joining method based on pairwise distances in the MEGA5.05 software [ 17].
Furthermore, we used ClustalW [ 46] to construct a "phylogenetic" tree based on pairwise distances (ClustalW's guide-tree), and visualized the relationship by plotting the tree with "unrooted" [ 47].
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To measure the similarity of the two Figures 2(a) and 2(b), the Mantel test [24] based on pairwise distance is carried out with a highly significant Z-statistic value 2037.11.
NMDS were performed based on pairwise distance matrix.
The STRUCTURE analysis on SNP data is supported by clustering based on pairwise distance of the SFP data (Additional File 1, Figure S2.8).
Clustering is mostly performed based on pairwise distance, see e.g. the GROMACS package manual for some widely used methods (URL: http://www.gromacs.org).org
Percent identity measures calculated for the same sequences were based on pairwise distance scores calculated using EBI's EMBOSS Needle global alignment algorithm using default settings [ 45].
More suggestions(15)
based on pairwise similarities
based on pairwise correlations
based on average distances
based on pairwise estimates
based on vector distances
based on geodesic distances
based on island distances
based on information distances
based on pairwise identities
based on sequence distances
based on pairwise interactions
based on gap distances
based on time distances
based on pairwise relationships
based on approximate distances
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