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Therefore, we have developed a new tool, called Notos, to identify DNA methylation signatures within CpGo/e ratios based on kernel density estimations36.
In this paper, a new statistical method, based on kernel density estimation, is used for analyzing fractal coding parameters.
Nearest local maximum searching algorithm (NLMSA), an unsupervised clustering algorithm based on kernel density estimation, is proposed.
A clustering technique based on kernel density estimation is described that identifies clusters in terms of the design variables.
In this context, this article presents a methodology to directly reconstruct this functional based on kernel density estimators.
The goal is to prove large deviations limit theorems for statistics, which are based on kernel density estimator and which are designed for symmetry testing.
Similar(42)
Thus, the variable of population density was obtained indirectly by calculation of residential block density based on the Kernel density.
To identify the location and extent of GRRs, we used the kernel density estimation, a non-parametric technique based on the kernel density function [ 88].
Additionally, PDF estimators based on kernel functions are also developed.
The range edge is set at zero and based on 85% kernel density probability contours in Fig. 3. Hunting units with negative values are located outside top predator ranges.
Moreover, we propose a novel outlier removal algorithm based on anisotropic kernel density estimation.
More suggestions(15)
based on map density
based on bone density
based on kernel c
based on kernel k-nearest
based on kernel substitution
based on incidence density
based on manure density
based on drainage density
based on kernel theory
based on kernel approximation
based on kernel resolution
based on kernel function
based on fluorescence density
based on kernel neighborhood
based on electron density
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