Your English writing platform
Discover LudwigSuggestions(1)
Exact(2)
The total variance that was explained is shown for each model as the adjusted R2.
For each QTL, the location (linkage group (LG) and cM location), 95% confidence interval (CI) of the QTL region, name of nearest marker, lod-score (LOD), effect size (additive and dominance) with standard error (SE) and percent phenotypic variance explained is shown.
Similar(58)
Some examples of the procedure previously explained are shown in this section.
For each population the pond name, map ID corresponding to Figure 1, principal component axis (PC), trait loadings and % variance explained are shown.
Results of the PCA for the 27 countries, including the factor loadings and the total variance explained, are shown in Table 2.
The experimental set-up (explained below) is shown in Figure 1.
The finally found best-fitting model of cost, along with its explained variance, is shown.
The explained variance is shown on the y-axis as a function of the number of query genes.
For Fig. 4, please explain what is shown and add a legend.
The overall variation explained by location is shown in Fig. 8a.
Along with two of the achieved MMAMs, the approach is explained, its functionality is shown, its advantages, limitations, some open problems and future works are discussed.
Write better and faster with AI suggestions while staying true to your unique style.
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