The results that GC was less powerful, than GRAMMAR-GC based methods, and tended to lose power at higher heritabilites (Figure 2B), are not surprising and are consistent with our previous findings [11].
Interestingly enough in a study of real Genome-wide data in ERF pedigree, GenGR-GC was consistently more powerful than pedigree-based GRAMMAR-GC (PedGR-GC), and the power advantage became more pronounced at higher heritabilities.
These grammars are powerful, since they strictly contain the class of mildly context-sensitive formalisms, while staying computationally tractable, since their sentences can be parsed in polynomial time.
Phylo-grammars are powerful, parameter-rich models of the spatial and temporal structure of evolving genomic features.
The reasons are complex, but the extent of private coaching in selective areas has been one of the most powerful arguments against claims that grammar schools increase social mobility and provide opportunities to poorer children.
Shape grammars are a powerful and appealing formalism for automatic shape generation in computer-based design systems.
As already mentioned, stochastic context-free grammars (SCFGs) are a powerful tool for modeling combinatorial classes and the essence of the non-uniform random sampling approach that will be worked out in this article.
To conclude, GRAMMAR-GC is a fast powerful approach for genome-wide association analysis of quantitative traits in samples of related individuals, which does not require precise knowledge of pedigree structure.
Part of Clarice's odd grammar can be traced to the powerful influence of the Jewish mysticism that her father introduced her to.
We show that methods, which exploit only genomic background, such as Genomic Control (GC) and GRAMMAR-GC using genomic kinship, are powerful and genome-wide feasible methods.
