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Bodily et al. [31] found that in a selected data set of 56 cases, two trained radiographers and 15 radiologists achieved a sensitivity and specificity per patient with polyps ≥5 mm at 70%% versus 84%and80%80 % versus 74%% respectively.
This feature allows the user to determine whether a given gene of interest is a "high" or "low" expresser, relative to the average level of expression of all of the genes in a selected data set.
In a selected data set of HCV patients the incidence of TPO-Ab was detected in 51 (26.8%).
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Wei et al. [15] examined the roles of technical and biological variability, in determining a selected data set.
Due to the dominance of summertime events in the selected data set, very weak if any effect is found.
For each protein in the selected data set, normalized scores are multiplied by their respective weights.
NCSS were used to model the sire influence on lactation curves of dairy cows in the randomly sampled data and also in the selected data set.
Finally, all proteins in the selected data set are ranked according to their final score in terms of drug-target potential.
The complete list of hits (p < 0.05) is shown in Supplementary file 1, along with the analysis of all independent insertions mapped in the selected data set.
The full design matrices for and in (1) become respectively, X s = Z(X s 1 ⊗ I383) and Z s = Z(Z s 1 ⊗ I383) for the 383 sires in the selected data set.
The remaining 51 are not present in our selected data set, generally due to the lack of detectable expression in the transcriptome data set used by Necsulea et al. (2014) or because they could not be unambiguously assigned to one-to-one orthologous gene families across species.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com