According these data our hypothesis was of obsidian artefacts from different provenance, so we decided to apply the source discrimination approach to these samples using the previous obsidian samples as reference.
Variability of the bacterial flora when exacerbation appears was equally expressed as percentage of change of relative abundance, using the previous baseline sample as the reference (relative abundance exacerbation sample – relative abundance baseline sample × 100).
Thus, it is difficult to capture the characteristics of individual samples using the previous correlation-based network analyses.
◦ Unlike the bootstrap values of recombinant sequences, the bootstrap values of non-recombinant sequences were calculated by using all sequences up to the previous sampling point of the query sequence.
Therefore, we still used the previous allocation of towns when sampling.
We therefore propose that this study examine the relationship between these two binary variables in a similar cohort and use the previous data to estimate the sample size requirement.
In this method, the signal s ∈ R n is assumed to be an instance of a vector random variable s = ( s 1, …, s n ) t, where t denotes transpose operator, and the ith row of Φ is constructed using the value of the previous sample yi−1.
From the SW-ARRAY results of all pair-wise samples, we used the previous algorithm (4) to determine CNV segments on the basis of multiple reference samples.
This may be due to the different sampling methods used (the previous study used trunk blood and brain homogenate collected following decapitation) or different data analysis methods (the previous study used the brain homogenate-to-plasma concentration ratio rather than the brain dialysate AUC-to-blood dialysate AUC ratio).
Furthermore, we only used female subjects, while the previous sample included both sexes.
