Identification of multidimensional Boolean patterns in microbial communities.

ABSTRACT:

Background

Identification of complex multidimensional interaction patterns within microbial communities is the key to understand, modulate, and design beneficial microbiomes. Every community has members that fulfill an essential function affecting multiple other community members through secondary metabolism. Since microbial community members are often simultaneously involved in multiple relations, not all interaction patterns for such microorganisms are expected to exhibit a visually uninterrupted pattern. As a result, such relations cannot be detected using traditional correlation, mutual information, principal coordinate analysis, or covariation-based network inference approaches.

Results

We present a novel pattern-specific method to quantify the strength and estimate the

SUBMITTER: Golovko G 

PROVIDER: S-EPMC7488411 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature