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Next, we determined the RI for all possible heterotypic (X-Y) pairs of cone by identifying the nearest 'Y' neighbor of every 'X' cone and then calculating the mean and standard deviation (Figure 5B).
The villages were matched by identifying the "nearest neighbor" based on propensity scores.
We achieve this by identifying the nearest neighbors from the genes present in both datasets (A ∩ B).
Genetic map positions were estimated by identifying the nearest flanking SSR markers using the genome browser (http://www.soybase.org).org
Genetic map position for candidate genes were estimated by identifying the nearest flanking SSR or SNP genetic markers using the generic genome browser hosted on: http://www.soybase.org.org
Appropriate coordinates for the four partitioning lines along the boundary were obtained by identifying the nearest x-y coordinates of the boundary satisfying the proportion of total CC length to the Hofer-Frahm subregion.
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The study is performed by first identifying the nearest meteorological stations where IDF curves exist.
Voronoi diagrams of order n [36] could be of use to locate regions of coordinated BSs, by identifying the n nearest BSs at any given location; the distances should also be weighted based on the type/tier of each transmitting node.
Individual barriers were first queried by identifying the 100 nearest neighbors (Euclidean distance) relative to each of the five reference barriers.
This DNA-directed cluster transformation was further interrogated by identifying the scaffold constituents that support the near-infrared cluster.
In a first attempt to identify genes that may be regulated by HSF binding, we identified the nearest transcription start site (TSS) to the peak of each HSF bound segment.
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