RBF predictors in SCCS can be replaced by other modeling approach (such as improved intelligent algorithms, fractal models, and statistics models) as an alternative choice in different application situations. .
This Atticle originally appeared on VICE US.
The data set also includes 250 upstream, non-coding sequences that can be used for generating background models and statistics.
With the aid of computational models and statistics, structural biologists test several hypotheses to explain a protein's function based on its structure.
Yet, it is now clear that the models and statistics underlying genome-wide scans for selection may in fact lead to biased result sets with appreciable frequency.
Table 2 presents the edited model and diagnostic statistics.
In Table 2, further model and simulation statistics as well as input are shown.
The related model and its statistics are presented in Table 3.
Data collection, model, and refinement statistics are summarized in Table 1.
Normalized data was then fitted to a linear model and Bayesian statistics of differential expression were obtained.
