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Another source of discrepancies is the limited nature of the binary Boolean model itself.
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Manual inspection of the conflicting annotations showed that the main source of discrepancies were missed annotations by either one or the other annotator and not true annotation errors or differences in the mention boundary definition.
Evaluation of the mutation callers or understanding the sources of discrepancies is not straightforward, since for most tumor studies, validation data based on independent whole-exome DNA sequencing is not available, only partial validation data for a selected (ascertained) subset of sites.
The possible source of discrepancy is identified from the analysis.
One source of discrepancy is that prevalence reflects endemic conditions (i.e., some hosts are immune), while all secondary infections are removed in the R0 calculation (i.e., all hosts are susceptible).
Whilst we are unable to provide a full explanation for this, one possible source of discrepancy is the difference between our study and in both papers by Tesseur [52] and Harris [54] in the use of transgenic mice expressing APOEε3 and APOEε4 in neurons.
A major source of discrepancy is the definition of TF itself.
Therefore, the major source of discrepancy is not the estimated cancer mortality distribution but the overall mortality envelope applied to each region.
After careful checking, it is clear that the main source of discrepancy is the difference between the numbers of cancer registrations for 2004 2007, as available in 2010, and the updated numbers released in 2011.
The main source of discrepancy is likely to be due to differences in the types of biological experiments and samples between the predictor dataset (microarray) and the target experiment (e.g. RT-qPCR).
Various sources of discrepancies are discussed.
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