ENIGMA: an enterotype-like unigram mixture model for microbial association analysis

ENIGMA: an enterotype-like unigram mixture model for microbial association analysis

Abstract Background 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 b...

Full description

Bibliographic Details
Main Authors: Ko Abe, Masaaki Hirayama, Kinji Ohno, Teppei Shimamura
Format: Article
Language:English
Published: BMC 2019-04-01
Series:BMC Genomics
Subjects:
Enterotype
Topic model
Unigram mixture
Bayesian inference
Metagenomics
Online Access:http://link.springer.com/article/10.1186/s12864-019-5476-9

Internet

http://link.springer.com/article/10.1186/s12864-019-5476-9

Similar Items