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With adequate per-processor memory available, the possibility of using internal (memory) files to store the input data might be an obtainable optimization that may improve the scaling of the codes on moderate sized datasets.
For very small datasets, Bayesian methods such as BEST [ 26], *BEAST [ 27] or BUCKy-pop [ 28] (the population tree from BUCKy) can provide excellent accuracy; however, these methods are too computationally intensive to use on even moderate sized datasets with hundreds to thousands of loci and 30 or more species [ 29, 30].
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Data processing and transformation as described above can be simply handled using existing Structured Query Language (SQL) technology [ 13] with a moderate sized dataset.
Tegopelte has a moderate sized flap [ 67].
Scores on EDEQ improved significantly with moderate sized effects.
Indeed, the review found moderate sized effects on patients' adherence.
Additionally, the choice of bin size can strongly influence the MI values for datasets of moderate size [ 26, 27].
The MP-EST method can quickly obtain the MPE of species trees for datasets of moderate size (≤ 80 in Table 2).
Note that strong association between predictor variables may in some cases hinder the detection of interaction effects, especially in datasets of moderate size.
The use of the optimized math library together with some features of PROCOV described above makes it tractable to do full tree search under the general covarion model for datasets of moderate size in a reasonable time (Table 1).
Small datasets consisting of a few trees of moderate size can be processed with interactive GUI programs.
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