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To eliminate the degree bias caused by BFS, we launch the BFS-bias correction procedure described in (Kurant et al. 2011).
Second, the bias is asymmetric; a turn to the left is caused by a ∼37 degree bias of right pseudopod and ∼15 degree bias of the right pseudopod.
After aggregation, this matrix exhibits high performance (mean AUC = 0.70) and modest node degree bias (mean AUC = 0.55).
It yields a mean AUC of 0.68 across all GO groups and no node degree bias in favor of multifunctionality (mean AUC = 0.48).
Taken together, the results in this section demonstrate that attempt to reduce the effect of node degree bias do not have the desired effect, nor are data sets which appear to have no node degree bias actually free of its effects.
The unsparse coexpression data exhibits low node degree bias (the mean AUC based on node degree ranking is 0.52) but very good performance using the prediction algorithm (mean AUC of 0.71, Figure 6A).
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Here we consider other possible corrections for node degree biases and show that their interpretation is still enhanced by consideration of the effects of multifunctionality.
Fortuitously, several studies that improve our understanding of the utility of context-specific networks recently appeared, though they do not address the questions of whether they reduce multifunctionality and node degree biases.
Although the remaining participants are still broadly representative of their generations and we have used multiple imputation to minimise the impact of loss to follow-up, it is possible that our cohort data are to some degree biased.
In April, 2011, a grand jury indicted Ravi on fifteen counts, including two charges of second-degree bias intimidation.
When a transformation is applied, location estimates and confidence intervals will be transformed back to the original scale, with first-degree bias correction.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com