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As such, multivariate Poisson regression models of mortality rate ratios for the 10-year dataset as well as each of the simulated error datasets were created to investigate the extent to which errors altered well-established associations between the above parameters and mortality.
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What is clear from Fig. 11 is that while both reconstruction-based models provide an explanation for a good deal of the variation observed in the human navigation error dataset, neither model is able to outperform the other consistently, and overall they have a tendency to complement one another.
Because this transformation of phase-known to ambiguous data includes no scoring error, our datasets represent idealized conditions.
A significant departure from this ratio could indicate documentation or genotyping errors in datasets [54].
For example, on the 2% error rate dataset, GASSST obtained results comparable to BWA-SW.
However, because of the incomplete and error-prone datasets currently available, such methods have had limited success.
I believe that there must be a serious error in Dataset 2. Unless I am missing something, the data reported for "starved" and " ad libitum" treatments are identical.
Then (step 2 Fig. 1); an error free dataset which contains the true outcome and determinant values for each simulated individual is generated.
Subsequently, a linkage map was reconstructed using the error corrected dataset, including markers genotyped in at least 88 of 92 (>95%) individuals.
They show that under the default parameters that wcd is more robust and capable of handling errors in datasets without loss of accuracy.
Knowing how many errors the dataset contains is very important to assess the reliability of the conclusions drawn from the dataset.
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CEO of Professional Science Editing for Scientists @ prosciediting.com