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The various regression methods were tested, particularly linear, polynomial, and non-linear regression models.
The reactivity ratios for the MMA (1)/DMAPMA-Epi (2) couple in solution, using various regression methods based on the Mayo-Lewis model, are r1 = 1.73 and r2 = 0.03.
Next, using various regression methods, we identified an aging signature associated with the normalized DNAm levels.
Details of these various regression methods applied in this way are described below.
Among the various regression methods tested, OLS not only provided the best goodness-of-fit measures, but also has the widest availability of statistical packages for analysis and diagnostic checking.
After trying various regression methods, we found the k-nearest neighbor algorithm best captured the results from the initial library and was used to design a second-generation library (Library B).
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The ability to achieve highly accurate mapping through various nonlinear regression methods is shown.
In this report we have compared various penalized regression methods.
Various Bayesian regression methods were used to predict single QTL or a trait influenced by 42 such QTL.
The difference among the various Bayesian regression methods lies in how they specify the prior distribution of the parameters of interest (de los Campos et al. 2013; Gianola 2013).
Here, we first evaluate SW and compare its performance to several other approaches: various regularized linear regression methods, the TSS algorithm and a simpler correlation-based method (described below), using the yeast benchmark networks.
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