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We conclude that the imputation accuracy of rare variants increases with higher density of genome-wide genotyping arrays when the size of the reference panel is small.
Rather, detailed analysis suggests that the proportion of the main PAS variants increases with the number of tags documenting a PAS, so that the lower numbers that we observe are due to the more complete coverage of our dataset.
In our previous paper [ 3], we showed that enrichment for GWAS variants increases with the length of enhancers, but we did not try to define the precise relationship of GWAS variants to motifs located within the enhancers that is the goal of this paper.
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Moreover, the prevalence and titers of IgG1 antibody responses to the three variants increased with age (P < 0.05).
We found that the coincidence-site lattice boundaries, particularly Σ3 and its variants, increased with the pre-deformation level in cross-rolled (CR) samples.
The gain in the imputation accuracy of rare variants increased with reference population size and panel density.
Besides, the fraction of false variants increased with increasing coverage across all depths for indels and above 20× coverage for SNPs.
The abundance of the CCA1β variant increases with heat (37 °C) exposure but decreases with cold (4 °C) treatment under continuous light conditions.
Changing the population size (N) and the deleterious mutation rates (U) show that the advantage of the variant increases with N and U (fig. 1 C ).
The factor by which increasingly selective resequencing enhances the detection of disease-associated variants increases dramatically with the relative risk.
Specificity for the detection of structural variants increased sharply with the number of supporting reads from 47% (1 2 reads) to 91% (3 reads) and continued increasing at a lower rate to plateau at 99.68% with seven or more reads.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com