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ApEn is a family of statistics that measure serial regularity in a time series, are model independent, and can be used with datasets that are small and noisy (Pincus 1991; Pincus et al. 1991).
Using a standard multicore computer, it can be used with datasets consisting of tens of thousands of enriched regions.
The method we are to describe can be used with datasets for both inherited single nucleotide polymorphisms (SNPs) and somatic SNVs.
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Part B of this paper proposes new techniques that can be used with such datasets and applies them to discrete variable multi-objective problems related to production systems.
Second, the time complexity of the fastest known algorithm for the tcDTL reconciliation problem is O(mn), which makes it too slow to be used with large datasets (as we also demonstrate later).
Only some of these coalescent-based methods are fast enough to be used with phylogenomic datasets that contain hundreds or thousands of genes and more than 30 or so species.
As the result, Cardinal can be used with any dataset that fits in the computer memory.
We imposed to use five variables following the rule of thumb that log(n) variables should be used with a dataset of n samples.
Also, PTP should be used with caution on datasets where the number of individuals sampled per species is unbalanced and where the over-sampled species exhibit small within-species variation (see Supplementary Tables S1 through 4).
There are 2 types of Rasch models that can be used with a polytomous dataset.
In addition, they are too slow to be used with large ChIP-Seq datasets.
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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