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From the NMDS1 and NMDS2 maps, we mapped potential composition patterns and associated uncertainties by genus from the ordination of the field data.
As a positive control to validate the GBS linkage maps, we mapped lateral plate number QTL in both crosses.
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To clarify the correspondence between the previous linkage map [ 16] and the present map, we mapped SSR markers located in the previous map to the present map.
Using information from the high-density linkage map, we mapped the ms1 gene and constructed a partial linkage map around the ms1 locus.
In addition to the strain-specific QTL mapping, we mapped QTL using phenotypes estimated as the line mean squares across both strain treatments.
With the newly constructed map, we mapped single-gene traits, the QTL of filaments, and a number of ribosomal protein genes.
Without new maps, or rival maps, we can never know when old maps mislead.
We are just beginning to grasp what it means to live in a world in which maps are everywhere – and in which, by using maps, we are mapped ourselves.
For diffusion maps we develop a new inverse map approximation.
For all pairwise combinations of the four national-scale maps, we developed maps of biomass difference at the pixel scale.
In this adjustment phase, the system gathers a set of learner maps and then makes a group map by overlaying the learner maps (we call this map "group map").
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com