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Expression level of miRNAs determined from q-PCR and small RNA blot analysis did not correlate in certain cases and such differences between different methodologies have been noticed earlier when measuring the miRNA abundance [ 57- 59].
The agreement observed between different methodologies and their ability to detect quality trends across distinct environments constitutes a promising result for the implementation of the WFD's monitoring plans.
With regard to the differences in time and the different settings and perspectives, no valid direct comparisons between the results of the different modeling techniques could be performed and no publications could be identified performing a direct comparison between different methodologies with the same input data.
What they do not do is explore the detail of, and differentiate between, different methodologies that fall within each of those strategies.
Standardization and quality control of CTC technologies and the need of comparison studies between different methodologies for CTC isolation and detection were intensely discussed.
These data indicate that the proteomics method adopted here is valid for biomarker discovery with demonstrable agreement for protein expression changes between different methodologies.
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When the authors compared the prognostic differences between the different methodologies, the ER+/ ESR1+ and ER−/ ESR1+ subgroups had similar clinical outcomes, and performed better than patients who were ER−/ ESR1− or ER+/ ESR1−, suggesting that RT-PCR assignment of ESR1 status was more prognostic and accurate than IHC for ER [ 11].
The results of the studies introduce a possibility to develop a usability evaluation framework that includes both formative and summative approaches, as the results show a high degree of consistency between the different methodologies.
A detailed comparison between these different methodologies and the information they provide is discussed in this review.
Merging the results of dMRI and PLI data shows a good agreement between the different methodologies for both fODF and fiber tracking data (Fig. 6 iii, iv).
In the design of any study this would not be a major influencing factor since cross-comparisons between two different methodologies and sources of samples is not very informative in gene expression studies.
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