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Exact(11)
For enviromental samples, we expect to encounter sequences that have no exact matches in known sequence databases, either due to sequencing error or true biological novelty.
Since the spread of mean expression values is larger in larger samples, we expect higher dispersion.
When tested in noninvasive samples, we expect a decrease in the performance also of the novel epi-panel.
For large samples, we expect SeqEM to perform close to the Bayes classifier using true parameter values as studied above.
> -wrap-foot> Since our input data included the miRNA and gene expression profiles of ovarian cancer samples, we expect the identified comodules to be related to cancer.
We note that, for the purposes of this report, we define this "worst case" in the context of the specific samples we expect to test in the future, which are drawn from the NHS.
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Taking into account the large difference in the spectral overlap between MB absorption and QD emission spectra for the two samples, we expected a much larger difference in the behavior of PL decays for the two series.
Since mood-congruent biases as well as avoidance behavior have often been observed most strongly in clinical samples, we expected more pronounced effects of the mood induction at higher levels of depressive symptoms.
We had differing expectations, according to the various categories of data to which our measures can be assigned, about the influence of the different factors on the dependent measures: For example, because the IQ scores were based on language-specific normative samples, we expected effects for gender and family status but not for age and study centre.
From number counts of the sample, we expect that the flux limit is S90 = 0.45 Jy.
Due to the presence of beers from very large domestic breweries in our sample, we expect American beers to be cheaper than foreign beers, holding other attributes constant.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com