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This flexibility entails that the user carefully studies what constitutes a significant relationship between traits and markers and between the traits in the data set.
In our examples, we selected the training populations separately for each trait mainly because a different subset of individuals was observed for different traits in the data sets.
Suppose the traits in the data were Y, and K was a matrix that chose the subsample; i.e., the traits in the subsample were in the form KY, and V transformed Y to its principal components via YV.
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The low or negative relationships between the carcase traits in both the data sets were also worth noting.
We estimated the narrow-sense heritability of metabolic traits in the NFBC GWAS data.
Correlations between eigengenes and traits in the original data suggest the involvement of corresponding modules in these traits.
These functions generate a random-correlation matrix with a number of rows and columns equal to the number of traits in the input data set.
Bêche and others (2006) observed many seasonal differences in biological traits in this data set, showing that each season exerted distinct pressures, for which different sets of traits were suitable.
Effects of the two transgenic events (CpTI and Bt/CpTI) on insect damage index and fitness-related traits in the F2 generation (data from weedy strain Wb).
Effects of the two transgenic events (CpTI and Bt/CpTI) on insect damage index and fitness-related traits in the F2 generation (data from weedy strain Wa).
For each of these 20 chosen values of c, we started by either assigning the trait of interest (such as HCV infections that clear rapidly) to the root with probability p, where p is the observed frequency of the trait in the actual data set or the alternative trait (such as chronic HCV infection) with probability 1– p. From this tip, we went through each node of the tree in turn.
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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