Learning a mixture of microbial networks using minorization-maximization.

ABSTRACT:

Motivation

The interactions among the constituent members of a microbial community play a major role in determining the overall behavior of the community and the abundance levels of its members. These interactions can be modeled using a network whose nodes represent microbial taxa and edges represent pairwise interactions. A microbial network is typically constructed from a sample-taxa count matrix that is obtained by sequencing multiple biological samples and identifying taxa counts. From large-scale microbiome studies, it is evident that microbial community compositions and interactions are impacted by environmental and/or host factors. Thus, it is not unreasonable to expect that a sample-taxa matrix generated as part of a large study involving multiple environmental or clinical

SUBMITTER: Tavakoli S 

PROVIDER: S-EPMC6612855 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature