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The radially symmetric strain distributions present in the sample help to simplify the analysis, however the method could readily be extended to the reconstruction of arbitrarily complex strain distributions.
The results reported here, coupled with important information on HRQoL and psychosocial well-being among the same representative sample, help to fill this critical gap in the literature.
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Furthermore, controlled temperature in the lab and near the sample helped to reduce thermally induced drifts.
This study took a purposive sample, helping to pick subjects on the basis of specific characteristics [ 34] in order to include a diversity of roles and responsibilities.
In our dataset, we were particularly interested in finding cases where the additional reads from the NGS sample helped to improve predictions.
This will open a new route for future simulations of flow dynamics through the sample, helping to better understand the molecule cracking locally during the FCC catalysis.
The relative abundance of the bacterial species within the sample helps to predict the likelihood that the species will be detected by culture.
This shows that the unlabeled data samples help to improve the performance of the semi-supervised classification.
Third, we show that multiple RNA-Seq samples help to solve the ill-posed problem of transcript identification (see e.g. Lacroix et al., 2008; Lin et al., 2012).
However, the variability that can occur at different times in culture can introduce errors in gene expression data, but replicate samples help to address this concern.
Firstly, direct amplification of cysts DNA from stool samples help to sole important questions such as presence of mixed infections, association between assemblages and host (pathogenicity) and selection for irrelevant genotypes during cultivation [ 22, 78, 79].
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