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Particularly, Newman's notion of modularity [6],[8], which considers the internal connectivity with reference to a randomized model, has been a very popular measure for community partition in general networks.
Contrary to findings reported for mobile phone calls [58] and microblogging [57] we did not observe a higher tendency of female users to form gender homogeneous triangles, while we observed a stronger deviation from the expected values in a randomized model for the number of male-only triangles.
Upon determining that this model was significantly more accurate than a randomized model, we examined the regression coefficients to determine weights calculated on the different phosphoproteins.
This procedure was repeated five times, and the one-tailed t-test p-value was calculated, which is the probability that a randomized model could achieve a CCR value comparable to that of the best models built with actual activities.
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We also investigated an additional randomized model in which we switched 30, 000 instead of 3, 000 edges and found similar results (data not shown).
An option to use randomized model sequence (a third-order Markov process with probabilities extracted from the test sequences) as control is also provided.
Use of a randomized statistical model like bootstrap resampling can significantly increase the accuracy of the detected motifs.
Using a randomized effects model, we will estimate the effect of intervention assignment on BMI while controlling for important covariates such as gender, baseline BMI, and diabetes status.
Methods that assay sequence statistical over-representation apply chi-squared, p-values or z-scores to nmer frequencies, most often in association with one or more expectation values or a randomized background model.
A total of 61,703 probe sets representing 51,411 transcripts were identified during the five seed germination stages of Jimai 20, of which 2,825 differential expression probe sets corresponding to 2,646 transcripts with different functions were declared by ANOVA and a randomized variance model.
In both cases, however, the "randomized" model parameter b n is assumed to be redrawn in each time step n as in Fig. 6 a.
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