Computational benchmarking demonstrates improved taxonomic classification accuracy through parameter tuning in marker-gene amplicon datasets, highlighting optimal settings for microbiome analysis.
Our results illustrate the importance of parameter tuning for optimizing classifier performance, and we make recommendations regarding parameter choices for these classifiers under a range of standard operating conditions. q2-feature-classifier and tax-credit are both free, open-source, BSD-licensed packages available on GitHub.
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Bokulich et al. (2018) studied this question.
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