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We investigate methods for estimating relatedness using GBS data, including results of low depth, using theoretical calculation, simulation and application to a real data set.
The flexibility of the new model is illustrated with an application to a real data set.
A simulation study and an application to a real data set give promising results.
Finally, we propose a new log-gamma Burr III regression model and illustrate its importance by means of one application to a real data set.
Based on the Kumaraswamy distribution Cordeiro and Castro [6] introduced a new generalized family of distributions, denoted in this paper by Kum-G, and discussed its basic statistical properties and application to a real data set.
An application to a cattle data set is also provided.
As with any other statistical model, application to a different data set would require re-estimation.
Having applied the maximum entropy approach to network connectivity in a simulated cell signaling system, we then considered its application to a proteomic data set.
Application to a real data set revealed that some SNP filtering may still be necessary, for the exclusion of SNPs which did not behave in a Mendelian fashion.
Based on simulations, theoretical power calculations and application to a GWAS data set, we have highlighted the merits and the drawbacks of genotype- and haplotype-based tests, and those of our combined approaches.
Here, we present the application to an example data set of 11 histone deacetylase inhibitors.
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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