Back to search

Article

Revealing microbial assemblage structure in the human gut microbiome using latent Dirichlet allocation

2019-06-10

Abstract excerpt

Recent research has revealed that there are various microbial species in the human gut microbiome. To clarify the structure of the human gut microbiome, many data mining methods have been applied to microbial composition data. Cluster analysis, one of the key data mining methods that have been used in human gut microbiome research, can classify the human gut microbiome into three clusters, called enterotypes. The...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
51851784-be10-5e61-a3ab-58d82f54169b
DOI
10.1101/664219
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Revealing microbial assemblage structure in the human gut microbiome using latent Dirichlet allocationDOI 10.1101/664219
Select a neighboring publication to make it the new centre.