TADA: phylogenetic augmentation of microbiome samples enhances phenotype classification

Erfan Sayyari
Erfan Sayyari

BIOINFORMATICS, pp. I31-I40, 2019.

Cited by: 1|Views3
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Abstract:

Motivation Learning associations of traits with the microbial composition of a set of samples is a fundamental goal in microbiome studies. Recently, machine learning methods have been explored for this goal, with some promise. However, in comparison to other fields, microbiome data are high-dimensional and not abundant; leading to a high-...More

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