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A broken promise: microbiome differential abundance methods do not control the false discovery rate.
Stijn Hawinkel
Federico Mattiello
Luc Bijnens
Olivier Thas
Published in:
Briefings Bioinform. (2019)
Keyphrases
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machine learning
false discovery rate
database
preprocessing
control system
computer vision
case study
significant improvement
probability distribution
high dimensional data
benchmark datasets
test set
classification method
computationally expensive