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The same figures were also calculated taking just a single transcript for each of the 22,383 protein-coding genes, with essentially identical results, the average difference per data point between the two approaches being 0.16% (data not shown).
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GC skews for the 200 basepairs upstream and downstream of the open reading frame were also calculated, to produce Figure 2. The same process was used for AT skews.
Because the small sample size meant that the groups may not have been well balanced at baseline, effect sizes were also calculated based on figures adjusted for baseline variables.
For the experiments depicted in Figures 5, 6, 7 and 9, relative transcript levels were also calculated as ∆∆CT.
Figures of merit as selectivity, sensitivity, limit of detection (LOD) and analytical sensitivity were also calculated.
The differential mobilities µd = dvd/dE were also calculated and are shown in Figure 2.
Average areas were also calculated.
The solvent accessibilities of amino acid residues were also calculated for both models (Figure 5).
Effect sizes (eta squared) were also calculated.
Median, fifth, and 95th percentiles of MRC scores for each of the three GOLD categories were also calculated. Figure 1 shows the frequencies of comorbidities and of their simultaneous presence.
The centrality measures of coevolving sites were also calculated (Additional file 2: Figure S2a to c).
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