Sentence examples for multiple outlier statistics from inspiring English sources
2012) of the same populations as studied here, based on approximately 350 SNPs and microsatellites, identified ten outlier loci/regions supported by multiple outlier statistics, a number comparable to that identified in the present study.
In summary, this paper introduces a new scheme for SHM by exploiting robust multivariate outlier statistics in order to investigate if the selected features are free from multiple outliers before such features can be selected for either supervised or unsupervised analysis.
Overall, the overlap in genomic positions containing outlier loci or 'high- FST genomic regions' between populations and outlier statistics was relatively small.
A real outlier statistics is not exactly known in practice, so a low sensitivity to outliers is very important for achieving the practical robustness.
In this paper, robust outlier statistics are investigated, focussed mainly on a high level estimation of the "masking effect" of inclusive outliers, not only for determining the presence or absence of novelty-something that is of fundamental interest but also to examine the normal condition set under the suspicion that it may already include multiple abnormalities.
Figure 1 provides a graphical representation of the (a) error bars [mean ± 95% confidence interval (CI) statistics] and (b) box plots [quartiles + outlier statistics] for GHG emissions from the different wind electricity generation systems reviewed in this study.
The approach of the GTI to utilize the normal control group for the calculation of outlier statistics therefore effectively reduces the number of false positives identified.
Therefore, if selection is operating in recently domesticated strains, it may be difficult to detect using standard outlier statistics.
Molecular signatures of adaptive divergence, possibly indicative of domestication selection, were detected using multiple outlier analyses.
To further understand the heterogeneity of ASD genetic architecture reflected in the blood transcriptome, we developed a novel approach using outlier statistics.
We identified the genomic regions potentially involved in domestication using standard outlier statistics and tested whether the same genomic regions were identified in different domesticated strains using a kernel-smoothing approach.
