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Table 1 Relation between α and the fraction of the screening set contributing 80% of the BEDROC score Data set percentage α-value 1.6% 100.0 3.0%53.63.2%2% 50.0 5.0% 32.2.
In LNCaP-AI, for example, about 8.99% of miRNAs and miRNA*s are at high read counts (>1000), among which the hsa-let-7 family (hsa-let-7c, hsa-let-7f, hsa-let-7a, hsa-let-7d, hsa-let-7b and hsa-let-7e) is one of the most abundant miRNAs in our data set, contributing >8.94% of the total miRNA reads.
Emerging theory was contrasted against the whole data set, contributing to the rigour of the study.
The fraction of particles from each data set contributing to various conformations is plotted in the histogram.
As we see in Table 1 genes involved in translation represent the largest functional group in our gene set, contributing as much as 35%.
Once DC gene sets are obtained, it is often of interest to identify the specific genes within each gene set contributing most to the observed DC.
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The costumes and set contribute significantly to the production's success.
Interestingly, further analysis identified that only positively correlated gene set contributed to the enrichments with p = 6.85×10−9 for cell communication and p = 1.05×10−7 for signal transduction (Table 4).
Each interacting variable in the data set contributes approximately one single unit step.
Figure 4 currently visualizes the result of a PCA analysis over our data and one additional data set, contributed by the Botella lab in Regensburg.
We are currently attempting to evaluate these potential prognostic factors using a large prospectively collected data set contributed by multiple centres.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com