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When top ranked gene sets from both methods, based on FDR for association and the AUC value for ROC-based classification, were combined by averaging the top gene set ranks, there was a significant overlap between the gene sets ranked by both methods (Spearman rank correlation over all gene sets = 0.96, p-value < 10-16 ; Additional File 6).
The trends predicted with both methods based on turbulence level or rotor speed are similar.
In the theoretical results, we obtained the error estimates of both methods based on a priori condition.
Both methods based on the regression models could have been applied in the case of repeated measurements by using either frequentist or Bayesian inference.
The J_to_G_Mason function implements both methods based on references [6, 38] and the leastsq function of scipy, which is a modified Levenberg-Marquardt minimization algorithm.
The purity of the cells was almost identical with both methods based on the analysis of the combined expression of Gr-1 and CD11b on the isolated cells (Fig. 2A and table 2).
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Two experiments were designed in order to compare the effectiveness of both methods, basing on real projects implemented by the first author of the article.
For a low SNR =-5 dB, as shown in the bottom picture in Figure 2, both the methods based on alternating optimization, namely ACDC and ACDC LU +, converge to local minima which are less desirable.
Both, rational methods based on kinetics and regulation, as well as combinatorial methods, typically in this order, are used to this end.
In summary, none of the three models is simultaneously ranked as the best by both the methods based on BFS-graph and subgraph census, implying that there is still room for improvement for these models.
Under the heterozygote excess model all of the Ne estimates were infinity for both treatment methods (based on 5 vs. 5 8 loci).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com