Sentence examples for complexity of data interpretation from inspiring English sources

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Targeted sequencing is particularly advantageous at achieving very high coverage of the region of interest (ROI) while keeping the cost of sequencing and complexity of data interpretation manageable.

This increases the complexity of data interpretation, but it is possible to quantitate the product ions of specific precursors in a pseudomultiple reaction monitoring (pMRM), or all-reactions monitoring (ARM), manner, as well as to determine identity in a single run.

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As heteroplasmy generally presents in mtDNA sequence data as a mixture (see Fig. S1 for an example from Sanger data), distinguishing authentic mtDNA heteroplasmy (i.e. intra-individual variation) from other causes of mixed data that may result in the appearance of heteroplasmy adds a level of complexity to data interpretation regardless of whether the data are Sanger-based or MPS-based.

Deep tumors likely will emit signals strong enough to be detected, but the distortion of the signals due to travel through heterogeneous tissues will add an additional level of complexity to data interpretation and analysis.

Under heated conditions, peptides can potentially degrade and interfere with the global metabolomics profiling, which could contribute to the complexity of the data interpretation.

Despite this, the majority of the staff interviewed felt that the admitting doctor or specialist nurse was the most appropriate person to conduct the VTE RA due to the complexity of data needed and the clinical interpretation necessary for safe, appropriate prophylaxis.

Given the ever-increasing amount and complexity of data available for phylogenomic investigations, it appears prudent to begin to move away from a posteriori data interpretations, and toward direct tests of explicit predictions from standing and future evolutionary hypothesis.

The complexity of data streams and multitude of factors that influence them require a high degree of context specification for meaningful data interpretation.

The complexity of data validation is described.

Rather than recapitulating the conclusions of the individual studies, here we attempt to highlight the potential complexities surrounding data interpretations.

However, because of the complexity of tunnel structures and a long data interpretation period, the analysis and interpretation of field data is a relatively difficult and time-consuming task.

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