Including these subclonal mutations in the analyses, i.e., comparing all late-stage integrations to early mutations, reveals some CIS loci with selection that is more significant than in clonal analysis alone (Supplementary Data 2), including verified human cancer genes such as REL, EBF1, ERG, ELF4, MYCL, KIT, and KDR.
First, comparing the predictions made by men and women (i.e., comparing the blue bars to the black bars) reveals that both men and women seem to be relying on common stereotypes when predicting what women prefer.
Secondly, we tested whether the global network strength, i.e. the absolute sum of all RF interrelations, differs between the two network models (i.e. compared to permuted network model pairs).
Thirdly, we tested whether the global network expected influence (EI), i.e. the sum of all positive RF interrelations after subtracting the sum of the negative RF interrelations, differs between the two network models (i.e. compared to permuted network model pairs).
Fourthly, we tested whether individual RF interrelations differ between the two networks (i.e. compared to the same individual RF interrelation differences between permuted network model pairs; please note, results for those tests without Holm-Bonferroni correction can be found in Supplement XIV 67.
The most common test for detecting direction of selection is to determine the Dn/Ds ratio, i. e. comparing the ratio of non synonymous mutation per non synonymous site to the ratio of synonymous mutations per synonymous sites.
Because the site did not sell the cut-rate beans I was after, I compared the E-Java.com deal with what was available at a local gourmet roaster.
Gamma activity had a higher frequency in E-I-I compared to E-I networks, with a greater proportion of the parameter space supporting gamma frequencies >80 Hz.
The effect was most apparent among women who smoked more than 10 cigarettes per day, i.e. comparing east and west coast smokers (SuRR 0.68; 95% CI: 0.51, 0.91).
This checklist was developed to determine the methodological quality of non-randomized studies, for use in comparative studies, i.e. comparing two or more groups, and non-comparative studies.
One of the major issues with target "deconvolution" is model comparability, i.e., comparing models that have been trained independently [52].
