Each quantity in Equation (1) has a strand-invariant analog, beginning with the symmetrized dinucleotide composition f* xy, and the asterisk can be appended to every one of the statistics in Equation (2) to indicate these substitutions.
For hPDT and hPDT-t, the statistics in Equation (1) were modified as where Weight(f ) is the weight for the f th gene flow while is the normal D i statistic defined by Equation (2).
The statistics given in equation (2) should be restricted to comparing marker sets with the same number of markers.
For multiple datasets, we ranked all TF-target pairs based on the number of individual p-values that are smaller than 0.01 across multiple datasets; for pairs that have the same number of significant p-values, they were ranked by the corresponding meta chi-square statistics defined in Equation (16).
Throughout her degree she studied all methods necessary for performing of the current analysis (linear and logistic regressions, meta-analysis) and completed various courses on advanced statistics in psychology (structural equation modelling, mixed methods, and an ERASMUS intensive program on quantitative approaches to psychological processes).
At test-period of string str the D L spectrum has the value (3) where statistics has been introduced in Equation (1), and is the left-hand-side critical value of the distribution at a significance value.
In MSA, we calculated the D-stat statistics at every 2 bp position as in Equation 1, instead of calculation of the D-stat statistics for each probe as in the original algorithm.
Those slight changes can be accounted for by adjusting A in equation 2. Descriptive statistics showing the impacts of temperature on total solid (TS), volatile solid (VS), pH, ORP, biogas production, and methane contents are shown in Table 3. Impacts of temperatures in biogas production are shown in Figure 4.
Finally, the simulated gene statistics were compared to the original gene statistics, and adjusted P-values for both gene statistics were generated as described in Equations 2 and 3. Here, we would like to note, that both the gene statistics were computed based on the SNPs shared between the GWAS platforms and the reference panel.
Pearson statistics [see Equation (2)] is used at preliminary stage in the SS-approach to reveal heterogeneity in an analyzed sequence.
Since overdispersion leads to inflation of test statistics and the Pearson correlation coefficient is directly proportional to the t-statistics for the models in Equations (4) and (5), this implies that overdispersion may lead to inflation of the Pearson correlation.
