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.
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).
Secondly, we demonstrate that different researchers using different pathway analysis tools can come to different conclusions on specific mechanistic pathways, even when using the same datasets.
To the extent that scholars have investigated the EM-CSR relationship, their studies have yielded different conclusions on this relationship, even when using the same datasets.
Furthermore, it is remarkable that both models response similarly when using the same datasets.
When MP is used on the same datasets the opposite pattern is observed.
Moreover, when the second nearest neighbor is taken into account, on the same datasets the average classification accuracy approaches 100%.
Next, phylogenetic trees were estimated using the same datasets.
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.
