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For the other models, we removed bases with base or mapping qualities <10.
After fitting all possible models, we removed the secondary explanatory variable corresponding to the smallest relative change in the β coefficient for incarceration from further consideration and repeated the process.
> -wrap-foot> To implement both the branch and branch-site models, we removed taxa in alignments lacking sequence data and regions with indels that resulted in missing data for 90% or more of the taxa.
To merge the two models, we removed the ORI state from the Chen model, and instead used the FORK species to trigger the change in kmad2, as detailed in Methods.
Finally, we started with a full model including the three step changes and the three slope changes and in subsequent models we removed the least significant factors one at a time.
Since the MDR method is known to be useful to detect the epistatic models, we removed these 21 SNPs from the dataset and re-ran Surv-MDR and Cox-MDR without SNPs having strong main effects likewise the procedure of Gui et al. (2010).
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Using a spatially-explicit population model, we removed groups of habitat patches based on their characteristics and measured the resulting time to extinction.
To achieve a parsimonious model, we removed the paths that did not reach statistical significance from the hypothetical model, and according to the modification index (MI), added a correlation path between the residuals of intrinsic motivation and extrinsic motivation.
In order to study the effect of each component of the GL model, we removed each of these factors from the GLM framework.
The molecular network that we analyzed with our method was devoid of directed cycles; to generate a loopless graph, in each directed cycle of the original literature-derived network model, we removed the weakest (least supported) arc, striving to minimize the overall number of deleted arcs.
For the unstable BI model, we removed all elements representing transverse ligament from the intant model.
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