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It is informative to know how an imputation method performs for different missing rates.
It is informative to know how an imputation method performs for different levels of noises inherent in the microarray data.
It is, however, not known how the method performs for other distributions of arising beneficial mutations and for larger values of U.
The method, based on conditional random field theory, appears to be accurate but the result presented in that work was for a static single measurement and there was no indication how the method performs for a set of dynamic OCT images acquired immediately after a blink.
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Multiplex PCR method performed for identification of tcdA, tcdB, cdtA and cdtB genes.
Interestingly, the MCS method performs better for larger k-values (>29) and the AP method for smaller k-values.
Our results confirm that the TBAG method performs well for different scenario setups.
Besides, our method performs well for the noisy image with low-intensity inhomogeneity.
However, the proposed method performs well for these conditions also as cleared from Fig. 8b.
The experiment also demonstrated that the proposed method performs well for image classification.
The method performs well for the noise types at relatively high noise content in the signal.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com