A high R-value for a dataset indicates that the dataset contains wide overlapping areas among its categories, and classification accuracy on the dataset may become low.
The inter-quartile range (IQR) in a dataset indicates the extent to which the central 50% of its values are dispersed.
We perform binary classification, obtaining an intermediate dataset indicating whether or not consumption will occur for each training record.
This is the first study with a large sample size and data drawn from a cross-national dataset indicating associations of healthy lifestyle behaviours with victims of bullying and violence/injury.
sIA was 0.45 for the complete dataset and the C. jejuni dataset, indicating a limited amount of recombination not sufficient to completely destroy linkage between alleles.
None of these 28 CGIs were present amongst the candidate regions identified in our dataset, indicating a low false positive rate.
Amongst the six TFs enriched in the SEREX-ovarian dataset, however, four, namely GATA1, MYOD, IK1 and HIF1, were also found in the Meta-UP dataset, indicating a weak link between the datasets with respect to transcriptional regulation.
This comparison identified 114 genes (36%) from the HDM dataset that were also differentially expressed in our dataset, indicating a core, common response to mite allergen exposure from two Astigmatid species at two distinct tissue sites (skin and nasal epithelium).
Moreover, we delineated a distinctive signature of functional signalling networks regulated by proteins in the KSR1-Doxo or KSR1-Etop dataset, indicating a certain degree of discrepancies in the KSR1-regulated proteome in response to different drugs.
A strong positive correlation is observed along the diagonal for this latter dataset, indicating an enhancement of interactions between nodes of similar degree.
