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Cantoro et al. [108] also used windowed standard deviation and the Generalized Autoregressive Conditional Heteroskedasticity (GARCH) approach to map the variance intensity of the turbulence in each region close to the plasma jet.
An ordinary spatial kriging was used and allowed to produce a raster map; the variance of output raster was also mapped.
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Biological and clinical traits can act as landmarks in transcription space, systematically mapping the variance of large datasets from the predominant changes down toward intricate details.
Briefly, this method maps the variance in each functional run onto a set of network templates derived from a reference dataset [here, the 675 participant dataset described in Schultz and colleagues (2014), resulting in 20 component templates, including global and noise components].
To address these issues directly we have now included spatial maps of the variance before and after the PCA, and an averaged map of all the states to demonstrate the proportion of gray matter covered by the network states (Author response image 2).
From the isotropic and anisotropic variance maps, the estimation variance is much lower for the anisotropic variogram than the isotropic one.
According to the mean and variance mapping above, the variance is subsequently computed from their corresponding mean values in the three different scenarios.
The variance pooling operation assigns different weights to local quality map according to the variance of local regions.
In the absence of such prior information, PCA finds the linear mapping that maximises the variance; this is not necessarily the optimal mapping.
We also expect that QTL mapping based on the variance component approach [ 13] will continue in the future.
In a simulation study different designs for a pure line pig population were compared for efficiency of mapping QTL using the variance component method.
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