Given the same dataset, when different feature parameters are used, the same sequence can be correctly or falsely classified.
This was consistent with results for the same dataset when positions were identified as A, G, C, or T. The Y model (C or T) showed position +2 to be significantly associated with SNP genesis of this type at the p < 0.01 level.
The diversity of methods means there can be significant volume differences even with the same datasets when different methods are applied.
Although it has been postulated that these metaplastic changes are also influenced by the trauma and repair experienced during delivery, no increased risk for cervical carcinoma was observed in this same dataset when traumatic partition was evaluated (Munoz et al, 2002).
This result confirms that there is a significant difference between inference methods (ML versus Bayesian) for the same dataset (nt excluding 3rd positions) when considering the position of oxyurids.
In contrast to these trees, when the same dataset was analyzed by means of the character compatibility or clique approach, S. ruber formed the deepest branch of the Bacteroidetes species and its specific association with this group was supported by 21 uniquely shared characters, indicating strongly that this affiliation was reliable [ 57].
This is especially helpful when exploring the same dataset in a team, as it preserves different useful configurations like e.g. the selected features, clustering, and 3D embedding settings.
When using the same dataset and the number of particles, the speedup achieved by the GPU implementation compared to one-core and quad-core implementations, respectively, is shown in Fig. 16 (in log scale coordinate).
A recent comparison of the pan-genome model of Tettelin et al. with our finite supragenome model demonstrated that the two models make highly similar predictions when provided the same dataset [ 26], thus serving as a validation for both.
By simply changing the members of 'training' and 'test' sets, Ein-Dor and coworkers [ 26] were able to identify more than 1000 genes that are related to survival, even when using the same dataset and methods as van't Veer and colleagues [ 7, 8], and found that many different but equally predictive lists of 70 genes could have been produced from the same analysis.
Although mapping of the reads from this library to the D. ananassae genome shows the expected 5× coverage, or 1 copy, when mapping the same dataset against the wRi genome, the coverage varies, suggesting 1 8 copies, with the majority of the genome having ≥10× coverage, or 2 copies.
