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RADICAL is a technique that can be used to dissect complex phylogenomic patterns by probing the phylogenetic signal garnered through stepwise concatenation from the smallest data sets through the largest (fig. 1; for an in depth description, see Materials and Methods).
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Overall PCA had the maximum range of amino acids, even though it was the smallest data set.
In the smallest data set (268 taxa) Synechodes coniophora (Brachodidae), however, is placed within Cossidae.
If the experience of the past decade has taught us anything, it's that extrapolating from small data sets is dangerous.
Previous studies analysed small data sets and gave contradictory answers.
However, this is not always possible for small data sets.
Instead they have to cross-check classifiers against (smaller) data sets of labeled bot accounts.
Small data sets can be published as supplements with the corresponding journal article.
Crucial to this approach is the transition from small data sets to large.
This paper develops a unique neural network to accurately predict small data sets.
This study presents a hybrid framework for improvement of energy consumption estimation with small data sets.
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