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Its calculating kernel permits one to solve maxmin problems using an algorithm based on a nonlocal search (modification of the Gelfand's and Tsetlin's "long valley" method).
In the AGEP method, this was accomplished by calculating kernel density estimates for each gene in each reference tissue type, thereby generating reference data for characteristic expression profiles of all genes in all the major normal tissue types.
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This tool calculates kernel density estimates based on a set of input points and in this case we used the converted bounty data.
To calculate kernel densities, we converted the bounty data in each continent into a point file using conversion tools in ArcView v10.1, with each point given the coordinates of the centroid of each hunting unit.
We calculated Kernel home ranges (core home range enclosed by the 50% probability contour and 95% home range enclosed by the 95% probability contour) in animal movement extension SA 2.1 [38], using least-squares cross-validation (LSCV) smoothing.
Fresh and dry weight were used to calculate kernel water content and kernel MC.
The density of expression values for each gene in each tissue type was calculated (Additional file 2A-B) as follows: For computational efficiency we used fast Fourier transformation based approximation to calculate kernel density estimates (R 2.7.2 [ 47]).
We calculated kernels of N2 isotherms mixing the etched pores isotherms with the perfect ones.
We then characterized the distribution of the top predator in each continent by calculating a kernel density estimate from the mapped bounty data described above.
With their help we then prove, on the one hand, an extension of Clark's formula to the representation of the scalar distributions with the extended Itô integral and, on the other hand, we give a decomposition of the vector-valued distributions by exactly calculating the kernel of the divergence operator.
Among them, the method of exponential inputs specifically chosen for calculating Volterra kernel in this paper.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com