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Since there were virtually no significant genetic influences on attachment-related avoidance and no common environmental influences on the personality disorder measures, overlap between these measures was primarily accounted for by unshared environmental influences.
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However, the correlation between cartilage damage and hind limb sensitivity is relatively weak (R = −0.4498), and the range of sensitivity measures overlaps between groups.
There are no doubt problems with the data, like the limited sample size, different days of the week for mailings, and our inability to isolate outliers or measure overlap between the $3 and $12 groups, but this preliminary data is both counterintuitive and testable.
The axial slices were initially reviewed using Inteleviewer (Intelerad Medical System Inc., -Montreal, Canada) to measure overlap between the distal tibia and fibula (Figs 3a and 3b).
Data were analyzed through the use of causal analysis approaches in IPA to infer upstream biological causes and probable downstream biological effects, using enrichment score (Fisher's Exact Test p-value) to measure overlap between observed and predicted gene sets, and z-score to match observed and predicted up/down regulation patterns [ 40].
Measuring overlapped regions between different sheets leads to more realistic thickness values, which clearly reflect, for example, the removal of oxygen functionalities from graphene oxide following chemical reduction.
In silico experiments are used to generate the density function describing the property of interest as well as to estimate the effect on such density of the parameter conditioning, measuring the amount of overlapping between the parameters conditioned density functions.
Furthermore, the Bhattacharyya coefficient is an approximate measure of the amount of overlapping between two distributions and as such can be used to determine their relative closeness.
For a given GO annotation A, we define the 'functional module set' G A to consist of all genes annotated with A. Song and Singh (2009) utilize the following three measures to measure the overlap between computationally derived cluster and the GO functional modules: Jaccard: for each cluster C, its Jaccard value with each GO derived functional module group G A is computed as.
In this sense, a typically used performance metric is the correlation ratio (please refer to[34] for its mathematical definition), which is equivalent to a measure of mass overlapping between the segmentation results and the ground truth.
It is a special case of Chernoff distance which measures the overlap between samples of two different probability distributions.
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