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These methods model the time-dependent gene expression profiles based on nonparametric approaches.
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Here we report an in-depth analysis of temporal patterns based on nonparametric and Bayesian approaches that incorporate the context of inherent time dependence of gene expression per se.
The other limitation of the ecological approach based on nonparametric correlations is its inability to take multiple factors into account through a multiple regression or partial correlation analysis, as the association between factors is not known and nonparametric approaches to partial correlation are much less robust than their parametric counterparts.
Residuals in one period (or time point) are correlated with those in previous periods (or time point) and ranking individual SETI based on nonparametric regression fit as a gene-by-gene approach.
Although approaches have been developed to model and analyze 'case-control' samples, they are usually based on nonparametric statistical tests such as χ or trend tests etc. and rarely account for the biases described above [ 9].
One possible future line is the implementation of localization algorithm based on nonparametric generalized belief propagation (NGBP).
Statistical comparisons were based on nonparametric tests, and statistical significance was defined as P < 0.05.
c Based on nonparametric tests for 2 independent sample and Kruskal-wallis H. Kruskal-wallis H
A Mann–Whitney U test based on nonparametric analysis was performed for independent samples.
Statistical comparisons were based on nonparametric tests and statistical significance was defined at P < 0.05.
The comparisons were based on nonparametric tests - Mann Whitney Test using SPSS Statistics 20 package.
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