Back to search

Article

Machine learning reveals missing edges and putative interaction mechanisms in microbial ecosystem networks

2018-03-21

Abstract excerpt

Microbes affect each other’s growth in multiple, often elusive ways. The ensuing interdependencies form complex networks, believed to influence taxonomic composition, as well as community-level functional properties and dynamics. Elucidation of these networks is often pursued by measuring pairwise interaction in co-culture experiments. However, combinatorial complexity precludes the exhaustive experimental analysi...

Topics

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

Identifiers and source

Literature Corpus work
8b992645-cf5f-57ba-b765-3b190edd56ad
DOI
10.1101/286641
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.
Machine learning reveals missing edges and putative interaction mechanisms in microbial ecosystem networksDOI 10.1101/286641
Select a neighboring publication to make it the new centre.