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Heterozygous females were then set onto hosts as virgins, and haploid male progeny recombinant between the two mutations were sorted into two sets: individuals with the wild-type N. giraulti st-318 phenotype and mutant N. vitripennis mm phenotype (st-318 +g, mm) and individuals with the mutant N. vitripennis st-318 phenotype and wild-type N. giraulti mm phenotype (st-318, mm +g).
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The specimens were sorted into three sets: Bright (B, 19 specimens), a random sample from the 3% brightest specimens; Dim (D, 24 specimens), a random sample from the 3% dimmest ones; and All (A, 25 specimens), a random sample from the remaining worms equally distributed over the full range of observed brightness values excluding top 3% and bottom 3%.
Thus, each of the experimental data sets was initially sorted into two classes using models produced directly from the data using common lines.
Contigs generated from each assembly (6 total contig sets) were de-replicated, then sorted into two pools based on length.
The Si samples to study were sorted into two groups.
Next, Tbx3-2A-GFP ESCs were sorted into two subpopulations according to their fluorescence intensity.
(B) Tbx3-2A-GFP ESCs were sorted into two subpopulations based on the fluorescence intensity of GFP.
MSE scale totals were sorted into two groups to create an MSE score for further analysis.
Generally, the UV Vis NIR spectrum patterns could be sorted into two categories through statistical grouping.
Tumors were sorted into two groups (those whose expression patterns more closely resembled normal cortex and those that did not) based on the above hierarchical cluster analysis using the cortex gene set.
These conflicts can be sorted into two categories.
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