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The reliability of the produced maps is supported by the good spatial continuity and well-defined spatial structure of all the datasets indicated by experimental variograms of the CO2 flux n-score (see Methods, Supplementary Information Fig. S2 and Table S1).
We conducted a second GSEA screen after adding extra published and in-house gene sets (see Materials and Methods) relating to E2-, MYC- and E2F-activity in cell-lines, with the added datasets indicated by a prefix of "MCA" (Text S2).
These sequences are hereafter referred to as 'non-conserved gene-like sequences'; full details of these and all the putative orthologous genes sampled are given in Additional file 5.> -wrap-foot> Values given are the number of 454 reads matching the datasets indicated by row and column headings.
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Significant pairwise FST values between the majority of the study sites using all datasets (60 loci, 59 loci and Her 14 datasets) indicated that the genetic differentiation is not driven by a single outlier site.
Figure 5 shows that for majority of real-life datasets, the trend regarding the aforementioned three characteristics is similar to the trend for toy datasets, as indicated by the accompanying gray trend-lines.
In DAPC, the optimal number of genetic clusters was one (k = 1) for both nuclear SNPs and microsatellite datasets, as indicated by the lowest BIC value in the successive k-means procedure.
Comparing the results of the best parametric model (i.e., Model 3) and the non-parametric (i.e., k = 10) (Table 2), our results suggest that the parametric models performed well in our dataset as indicated by both R2 and RMSECV%%.
Data from monkey J. Dataset identity indicated by column header.
The ground truth of features used to simulate the dataset is indicated by solid (relevant) and dashed (irrelevant) lines in Fig. 4 a.
Results for the WEMWBS with 14 items in the set are displayed in Table 9. Findings in Table 9 suggest that there are no violations of monotonicity for any of the items in the dataset as indicated by #vi values.
Comparing the results of the best parametric model (i.e., Model 3) and the non-parametric (i.e., k = 10) (Table 2), our results suggest that the parametric models performed well in our dataset as indicated by both R and RMSECV %.
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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