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The degree of overlap between these methodologies was low suggesting they are complementary not redundant approaches to identify putative drug-gene interactions.
A significant difference between these methodologies consists oftheir different energy requirements, i.e., thermal energy for MSF and mechanical energy for RO plants.
The difference between these methodologies can explain the small gap between both values.
The difference between these methodologies is whether or not a slip of each segment depends on total rupture length.
Far from a consensus having established itself over the last two millennia, the relationships between these methodologies are the subject of increasing debate today.
This study also provides an analysis of similarities and statistical dependence between these methodologies.
Similar(52)
A compromise between these two methodologies is represented by the use of data assimilation scheme to include sparse remote estimates of surface fluxes into continuous modelling.
Although prior studies have examined the relationships between these two methodologies through similar experiments, they have produced conflicting results in the literature for a variety of reasons.
Although it seems there is no connection between these two methodologies, both kernel methods and rough sets explicitly or implicitly dwell on relation matrices to represent the structure of sample information.
The differences between these rival methodologies now appeared to be more a matter of emphasis than of principle (or the lack thereof) (Kuczewski 1998).
A detailed comparison between these different methodologies and the information they provide is discussed in this review.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com