The results show that taxonomical methods generate more meaningful distributions of similarity scores within both samples and that similarity scores calculated via taxonomical methods have a more consistent relationship with citation likelihood and number of citations.
As expected, array-based methods generated fewer but larger CNVs, whereas NGS based methods generated more but, on the average, smaller CNVs.
In contrast, as current automated methods generate more degenerate motifs [ 17] these methods are better suited for the recovery of binding sites for 'global' regulators.
Simulation results show that the proposed method generates more accurate HRF estimates compared to existing methods.
To compare 2 methods of calculating residual stromal bed (RSB) thickness after repeat LASIK, to determine which method generates more conservative RSB thickness estimates, and to determine any factors related to the discrepancy between these 2 calculation methods.
Our LPS9 method generates more accurate phylogenetic reconstructions than the previously proposed 5-tuples strategy.
In the same time the method generates more stable ordered feature lists in comparison with existing methods.
However, we chose to perform multilevel linear regression analyses, because this method generates more easily interpretable data.
For instance, our method generates more than 12,000 novel protein functions for human with an estimated precision of ~76%, among which are 7,500 new functional annotations for 1,973 human proteins that previously had zero or only one function annotated.
We conducted investigations using a movie ratings/tags dataset with a taxonomy of SAs extracted from WordNet and a restaurant ratings/reviews dataset with an expert-created taxonomy of SAs, which demonstrated that our method generated more accurate recommendations than previous methods.
