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They often involve highly variable data rates, multiple receivers and security.
Particularly with regard to comparative metagenomics dealing with highly variable data, these techniques are considered as indispensable for a well-founded analysis.
This procedure is similar to the z-score transformation and is known as a standardizing procedure that allows a reliable comparison between highly variable data.
For example, experimental studies with highly variable data sets or that lack appropriate controls are rarely accepted.
They confirmed the limited, inaccurate and highly variable data obtained from urinary creatinine collections to quantify the GFR.
However, non-linear methods are needed to analyze highly variable data, such as heartbeat signals [ 2, 4, 5].
Similar(42)
Potential sources of large variability are highly variable test data as well as unstable model selection and changing regression vector estimates.
Analogous to the simulation study, small test data set sizes yielded largely varying prediction error estimates in the outer loop owing to highly variable test data especially in case of 10-fold CV (Figure 7).
Some of these genes are present in various rickettsiae in truncated and highly variable copies (data not shown).
The most important conclusion of the paper, i.e. that dynamic models predict much more variability than models where individuals are independent and hence are sufficient to explain highly variable prevalence data, would remain true for more complex model.
A new approach was developed to derive 'usual' probabilistic exposure in the presence of highly variable occurrence data, such as encountered with low levels of OTA.
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