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We modify our algorithm in order to overcome the mentioned drawback.
In the future, we should consider the role that these small commands play in the Fujisaki model, and eventually modify our algorithm to suppress accent commands that are modeling micro-prosody.
To reduce the occurrence of this event, we modify our algorithm by requesting each player not to update its transmit power at every step of the game with a probability λ ∈ [0, 1].
We assume that both types of deletion data, as well as perturbation data, are available, although it is trivial to modify our algorithm by simply removing the corresponding subroutines if any type of data is missing.
Note, however, that the experienced reader can modify our algorithm easily to include these more sophisticated corrections.
With the chosen tolerance level δ, we modify our algorithm as appropriate each time we compare two connectivity probabilities.
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Because of this characteristic, we must modify our algorithms originally designed for a CPU to take advantage of a large amount of parallelism to bring the full power of a GPU into play.
By analyzing the other data as well as modifying our algorithm, we can refine our results.
We therefore modified our algorithm to address this issue while maintaining our simple hypothesis testing approach and the principled comparison with the empirical distribution.
We modified our algorithm in such a way that genes were considered to be expressed, if a transcript is either present during the time point of interest or during a time span of approximately 12 hours prior to this time point (concerns 12 preceding samples of Bozdech data set and 2 preceding samples of Le Roch data set).
To accommodate the lack of matched normals in this dataset, we modified our algorithm to calculate the depth ratio and identify the heterozygous positions from two different sources: we used the near-diploid hematopoietic cell line SR as the normal genome for depth ratio calculation, and the selected cell line itself to determine heterozygous positions.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com