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We fit this model for the 948 SNPs (935 SNPs after LD pruning) with the largest birth date variances corresponding to the 1- π ^ = 0.0211 proportion of SNPs detected to be under strong selection in the BayesCπ analysis of birth date.
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Important challenges to analyses of clinical trials published to date include variance in patient selection, a potential lack of uniformity in patient characteristics in those receiving one vs. two-units with a large proportion of single unit recipients being pediatric patients, as well as changes over time in conditioning and GvHD prophylaxis including ATG administration.
Most trials tested the validity of randomization, reported and discussed side effects of treatment, indicated the start and stop dates, estimated variance and/or confidence limits of the endpoints, and used regression/correlation analysis.
In this portion of the RIL population (Sbprr37-2), the QTL corresponding to SbEhd1-1/ Sbehd1-2 explained ~20% of the phenotypic variance (date not shown).
On LG6 of the three maps we detected QTLs for flowering time (13.4 20.8% of total variance, 3 years), veraison time (9.0 9.9% of total variance, 2 years), ripening date (10.2 17.2% of total variance, 2 years), flowering-veraison interval (8.2 8.5% of total variance, 2 years) and flowering-ripening interval (9.1 15.3% of total variance, 2 years).
This suggests that significant improvements in divergence date accuracy (the point estimate) and precision (decreased variance) can be obtained by simply sequencing whole organelle genomes.
Superconducting Cavity Stabilized Oscillators, SCSO, have produced the most stable clocks to date, achieving an Allen variance of 3×10−16 for integration times between 102 and 103 seconds.
Not accounting for missing sequence evolution produced biased results and increased the variance of date estimates of the most recent common ancestor of the re-emergent lineages and across the entire phylogeny.
For each trait, the adjusted entry mean across both sowing dates, where heterogeneous error variances were assumed, was calculated.
The shifted dates reduced the variance in the tMRCA estimate for the re-emergent H1N1 viruses by 39% (Wilcoxon signed-rank test, p = 0.028) (Table 1).
Furthermore, additional data on the genetic variances of spawning date and developmental rate would provide better estimates of the response to selection.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com