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According to Table 1, an α value of 100.0 parameterizes the BEDROC score such that the ranking in the first 1.6% of the data set contributes 80% of the final BEDROC score.
Each interacting variable in the data set contributes approximately one single unit step.
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A fundamentally different approach is to merge independent data sets with common markers, so each data set contributes to constructing a single integrated map.
Emerging theory was contrasted against the whole data set, contributing to the rigour of the study.
COMPLEXO invites collaboration from any researcher who would like to contribute to this consortium either by contributing data to the combined COMPLEXO data set, contributing resources for large-scale validation of candidate breast cancer predisposition genes or refining analytical and bioinformatic pipelines for massively parallel sequencing data filtering and prioritization.
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.
The fraction of particles from each data set contributing to various conformations is plotted in the histogram.
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.
Those characteristics of the data set that contribute most to its variance are retained.
In usual applications, PCA can be used for dimensionality reduction in a data set while retaining the characteristics of the data set that contribute most to its variance.
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CEO of Professional Science Editing for Scientists @ prosciediting.com