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This simplification is mainly for computational reasons.
Some widely used phylogeographic models treat the migration of a pathogen as though it were analogous to mutation (Kühnert et al., 2011), mainly for computational expediency.
Mainly for computational efficiency, but also for robustness, we choose to truncate the kernel at | x j ′− x j |>3σ (excluding 0.27% of the density) by giving such data points zero weight.
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Second, previous tools were mainly developed for computational biologists, which restricted their wide use among experimental biologists.
In MolHub the operating data resources are mainly in XML format (CompChem for computational chemistry data) but it also offers alternative access to the raw data (in legacy format), in the case that the XML formats do not contain the required information.
However, it is important to note that, traditionally, definitions of operons and transcription units are synonymously used for computational predictions, mainly because each operon was believed to encode for a single transcription unit (single polycistronic unit).
However, we note that our choice of prior distributions differs from those commonly used for Bayesian whole genome regression, which are chosen mainly for their conjugacy and computational efficiency.
For computational complexity, we mainly consider the implementation of EVD and one-dimensional (1D) MUSIC spectral search.
Whereas modeling intracellular events can be implemented in many ways (e.g., Boolean networks or other generic decision mechanisms) without explicitly including the variable "space" for computational reasons (but mainly for simplicity), the diffusion of cytokines (or, another example, cells relocation between anatomical compartments), is a spatial phenomenon in character.
The main conclusion we can extract from this time comparison is the fact that DTW algorithm implies an increment of the computational time mainly for high dimensional feature vectors like CC, SC and FD.
The robot, called CB for Computational Brain, has the same range of motion as a human.
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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