ENIGMA: an enterotype-like unigram mixture model for microbial association analysis
Abstract
One of the major challenges in microbial studies is detecting associations between microbial communities and a specific disease. A specialized feature of microbiome count data is that intestinal bacterial communities form clusters called as "enterotype", which are characterized by differences in specific bacterial taxa, making it difficult to analyze these data under health and disease conditions. Traditional probabilistic modeling cannot...
Paper Details
Title
ENIGMA: an enterotype-like unigram mixture model for microbial association analysis
Published Date
Apr 1, 2019
Journal
Volume
20
Issue
S2
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