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To minimally transform or bias the data, we processed all the experiments without filtering genes with low expression.
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The point is not that all choices are efficient, but rather there is a selection bias in the data we observe on government size and performance.
If we care about diversity, we must all strive to counter our own predisposition to develop a bias based on the data we see.
To ensure that no biases were present in the data, we used a resampling approach by randomly permuting samples and microRNAs 1000 times, calculating a confidence level on the results of the clustering.
Since the DNRP was established in 1977, our estimates could be biased because of left-truncation of the data; we therefore conducted a subanalysis based on patients with a first IBS diagnosis in 1980 2008 and no IBS diagnosis in 1977 1979.
With the known load gravity (G = 8.2mN), we may bias the data in post processing and obtained the results shown in Figs. 7 e) and 7(f).
Second, the difference in Google Plus to Gmail usage patterns may bias the data.
Lack of such information may considerably bias the data presented.
As an example of the inherent bias in big data, we note that the Google Flu Tracker overestimated the size of the influenza pandemic by 50%%, miscalculating the severity of the 2013 flu and predicting double the amount of flu-related doctor visits (Butler 2013).
To test whether the use of SwissPfam introduces a significant bias to the observed data, we have recalculated the DVI using proteins from 749 full Eukaryotic, Bacterial and Archeal genomes from the Integr8 database, release 84 ([ 50]; see supplementary materials for the full data set).
However, as it is very difficult to provide an accurate estimate for the degree of bias in the HHPID data, we have deliberately chosen a very conservative methodology for bias correction.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com