By illustratively demonstrating drastic misinterpretation of true structural features that result from wrong CTF correction, this study is expected to guide researchers, especially the beginners in the field, for careful monitoring of image processing steps in order to extract high resolution structural data.
You are also right that public perception matters – and that's especially true in a market where misinterpretation can fuel anxiety.
Many people less familiar with patents will only focus on these areas when quickly reviewing a patent, which often results in misinterpretation of the true coverage of the patent.
Otherwise methodological performance is open to profound misinterpretation as to true utility.
Falsification indicates alterations or intended misinterpretation of the true evidence of experimental or observational studies.
In countries where imported cases are in majority, these two groups must be handled separately to avoid any misinterpretation of the true burden of disease.
Hence, it was not surprising that the proteases remained folded under denaturing conditions in SDS-PAGE, which resulted in a misinterpretation of the true molecular weight.
6 7 On the other side, survival rates in the screen-detected groups are biased (lead and length time bias and overdiagnosis), leading to misinterpretation of the true effectiveness of screening.
Given that most studies are population-based rather than family-based, and therefore lack phasing information, the presence of double heterozygotes for these variants may lead to misinterpretation of the true metabolizer type (for example, a CYP2C19*2/CYP2C19*17 intermediate metabolizer for PPI response vs. CYP2C19*1/CYP2C19*2+CYP2C19*17, for which metabolizer type is unknown).
Failure to adjust for differences in survival (e.g., Owen et al. 1987) could yield unreliable estimates of cancer risk and possible misinterpretations of a true site-specific effect.
Combining data from different experiments/platform/batches without reducing possible systematic variant can give rise to misleading results that can be strong enough to mask or even confound true biological signals and lead to misinterpretation of the data.
