A broken promise: microbiome differential abundance methods do not control the false discovery rate

Abstract High-throughput sequencing technologies allow easy characterization of the human microbiome, but the statistical methods to analyze microbiome data are still in their infancy. Differential abundance methods aim at detecting associations between the abundances of bacterial species and subjec...

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Veröffentlicht in:	Briefings in bioinformatics 2019-01, Vol.20 (1), p.210-221
Hauptverfasser:	Hawinkel, Stijn, Mattiello, Federico, Bijnens, Luc, Thas, Olivier
Format:	Artikel
Sprache:	eng
Schlagworte:	Abundance Algorithms Antibiotics Benchmarks Biodiversity Biomarkers Computational Biology - methods Computer Simulation Control methods Correlation analysis Databases, Genetic - statistics & numerical data Diagnostic systems High-Throughput Nucleotide Sequencing - statistics & numerical data Humans Identification methods Microbiomes Microbiota - genetics Next-generation sequencing Simulation Statistical methods Statistics Statistics, Nonparametric
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