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Furthermore, we discuss how FGLK motifs are required for efficient precursor protein import and how these elements may permit a convergent function of this highly variable class of targeting sequences.
The rest of the attributes will be used to decide the value of the variable class, and the lines below the label @data represent the values of the variables in each MB (one line for each one).
The variable class has a main effect.
Finally, we demonstrate how our approach can be used to compensate for variable class priors.
The output variable (class variable) can take one of two values, either positive (for cases) or negative (control) states.
We coded CFTR genotype by class as described and as a binary variable (class I II vs. III V).
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Steps 2 through 5 are repeated for all other response variable classes.
The proposed method, referred to as NCSC-based variable selection (NCSC-VS), clusters the variables into some variable classes by using NCSC, and selects a few variable classes according to their contribution to estimates.
We modeled mortality risk for pronghorn using Cox's proportional hazards model inclusive of time-dependent and time-independent covariates within anthropogenic, environmental, and wind energy variable classes.
In general, for a given variable name, the algorithm checks the consistency between variable classes stored in the location registry and classes stored in the class registry that are derived from the other parts of the checked query.
In total, 10 variable classes and 270 buffer-specific variables were explored in the LUR models.
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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