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Finally, we determined that STX1A explains 15.6% of PC1 variability in WS patients by regressing PC1 scores out of STX1A expression and calculating the percentage reduction in variance (initial variance = 0.878, final variance = 0.741).
The final variance represents the stable heritable substrate that can be gleaned from the initial perturbation.
Final variance estimation is a weighted average between traditional variance estimation value and the whole data set variance estimation.
The power determined with the final variance estimated from ELCCA (line 3 of Table 3) is equal to 30.04%.
The contribution of each loci to the final variance was computed by comparing models with and without the given term.
Tables 3 and 4 present the results of fitting the empty and final variance component models for females and males separately.
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These final variances are calculated as follows.
When the variances and fractions have been optimized, we obtain the final technical replicate-averaged quantities x pr and y pr and we determine final variances σ p r 2 and σ ˜ p r 2 for each of these averages.
When considering local habitats, canopy variability was inversely related to body mass, although only an additional 1% of final model variance was explained (F = 4.3, df = 1, 68, p = 0.043; Table 2).
The final explained R variance is 90.1%.
For both the GRAMMAR and FASTA methods, the final models use variance components that are estimated with the same simple random model.
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